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التنبؤ بحركة الطرود البريدية الصادرة والواردة باستعمال نماذج بوكس وجينكنز
Forecasting The Movement of Incoming And Outcoming Postal Parcels Using Box - Jenkins Models
اسم المؤلف:
عباس دوين عنكوش
اسم المشرف:
اسماء غالب جابر الراوي
الموضوع العام:
الادارة والاقتصاد
السنة:
2016
الموضوع الدقيق:
الاحصاء التطبيقي
الدرجة:
دبلوم عالي
الجامعة:
جامعة بغداد
اللغة:
العربية
مكان الجامعة:
بغداد
الصفحات الاولى:
المستخلص:
مما لاشك فيه ان للتنبؤ دورا مهما وبارزا في عملية اتخاذ القرارات التي ترسم مسار الادارات والهيئات لما له من نتائج ذات فاعلية لاحتوائه على مجموعة من الطرائق والاساليب الاحصائية ومنها طرائق تحليل السلاسل الزمنية واسلوب بوكس وجينكز احدها والذي يعتمد على ت | There is no doubt that prediction has an important and prominent role in the decision - making process, which charts the course departments and agencies, because of its effective results, which has it contains a set of methods and techniques (statistical and Mathematical), and one of this techniques is (Box - Jenkins) modes Postal parcels are stacked goods, its weight might be bigger than small packages. Postal parcels are specified in kilograms, and it doesn’t weight more than twenty - kilogram, and wrapped securely, its also doesn’t contain personal documents. This research aims to predict the movement of incoming and outcoming postal parcels through the modeling of the data used by using (Box - Jenkins) models, and for the time period from January (2009) to December (2014). This research, made a time - series analysis to the Weights and the numbers of sent and received postal parcels, therefore, the best model have been chosen depending on the appropriate trade - offs used standards, and the test results showed that the best model of the four series is ARIMA (0,1,1), depending on the trade - offs standards (MDL), (SBC), (HQ), and upon these results, the conclusions and recommendations were made
👁 مشاهدة
تاثير تغير اسعار النفط على موازنة العراق العامة للفترة (2003 - 2014)
The Effect of Changes of Oil Prices By The General Budget For Iraq On Duration (2003 - 2014)
اسم المؤلف:
شيماء محمد احمد
اسم المشرف:
فارس طاھر حسن الكواز
الموضوع العام:
الادارة والاقتصاد
السنة:
2016
الموضوع الدقيق:
الاحصاء التطبيقي
الدرجة:
دبلوم عالي
الجامعة:
جامعة بغداد
اللغة:
العربية
مكان الجامعة:
بغداد
الصفحات الاولى:
المستخلص:
تعتبر الايرادات النفطية والمتمثلة (بايرادات النفط الخام، ايرادات النفط المحلي ) والايرادات غير النفطية والمتمثلة (ايرادات الصناعة والزراعة والتجارة والضرائب وغيرها من الايرادات عدا الايرادات النفطية ) مصادر ممولة لايرادات الموازنة العامة في العراق, حيث ان | It considers oil revenues and of (crude oil revenues, domestic oil revenues) and non - oil revenues and of (industry, agriculture, trade, taxes and other revenue excluding oil revenues, revenues) funded sources of revenue for the general budget in Iraq, where the drop in oil prices has a major impact on oil revenues and therefore It affected the general budget revenues because it is almost entirely dependent on oil revenues. Using multiple linear regression was estimated statistical model for the general budget revenues practically using the Statistical Package for Social Sciences (Spss( to see the spirits of each variable and finding the predicted values for the model of the general budget revenue estimates for the period) from 2003 to 2014 (where it was found by the estimates of the budget deficit revenue values public due to lower oil prices.
👁 مشاهدة
استعمال اشجار الانحدار التصنيفية والانحدار اللوجستي في تقدير انموذج تجميعي والمقارنة بينهما مع تطبيق عملي
Using Classification Regression Trees And Logistic Regression To Estimate Additive Model Comparison With Application
اسم المؤلف:
سهاد احمد احمد
اسم المشرف:
عمر عبد المحسن علي القيسي
الموضوع العام:
الادارة والاقتصاد
السنة:
2016
الموضوع الدقيق:
الاحصاء
الدرجة:
دكتوراه
الجامعة:
جامعة بغداد
اللغة:
العربية
مكان الجامعة:
بغداد
الصفحات الاولى:
المستخلص:
تعاني بعض الظواهر من وجود حالة اضطراب في بياناتها بالاضافة الى صعوبة صياغتها وخصوصا مع وجود عدم وضوح في استجابتها، او لكثرة الاختلافات الجوهرية التي تعتري الوحدات التجريبية التي تم اخذ هذه البيانات منها. فعندما تزداد المجاميع لمجتمع ما, لا يمكن اعتبار ذل | Often suffer phenomena and there is disturbances in their data as well as the difficulty of formulation, especially with a lack of clarity in the response, or the large number of essential differences plaguing the experimental units that have been taking this data from them. When growing groups of a population, it can't be regarded as a homogeneous population is increasing because the dispersion between the experimental units in response to that population as well as the error will also be increasingly difficult to build a model of that population.So there was a need to include an estimation method on the classification or underlying discrimination for these pilot units using discrimination or create segments for each item of these pilot units in the hope of controlling their responses and make it more in line style.Has been resorting to the use of the method of a modern and flexible classification is based on the neighborhoods between the views represented by the response variable by classification regression trees : CART. It was the use bayesian approach and the promise of features indicative of regression analysis model classification tree to take advantage of the above information by, and collect trees for explanatory variables are all together and at every stage fork on the other hand, represented the bayesian classification regression trees : BART.In view of the development in the field of computers and taking the principle of the integration of science it has been found that modern algorithms used in the field of Computer Science swarm of birds and other originally illustrated algorithm for the purposes of technology pertaining to distinguish between images or vibrational radio, etc., can be harnessed to serve the knowledge of statistics, which is based Turn on the information production and to achieve success in it. So is the use of genetic algorithm and submit a proposal by modified genetic algorithm, in addition to C4.5 and ID3 algorithms. And without losing the generality has been used as a tool of logistic analysis as important tool.It was a whole performance along with an estimate of the general additive model method of classification of all the methods mentioned in the above. Fitted model as modern and flexible overcomes curse of dimensionality that may occur most modern phenomena of the times when their data analysis.It was the use of simulated samples of different sizes (200, 400, 600) with (1000) replicates. The application was performed on patients with diabetes data for those aged (15) years and below are taken from the sample size (200) was withdrawn from the children hospital/ Al - Eskan/ Baghdad.As proof of the goodness of classification has been using the misclassification error, and as proof of the goodness of estimation has been using the root mean squares error.Was reached important conclusions through a process of differentiation among the six methods above, the superiority of the Classification and Regression Trees Algorithm (CART) is the best in terms of the results that has been reached in empirical side, when proposed Genetic Algorithm is the best in terms of the results that has been reached in applied side.
👁 مشاهدة
بعض المقدرات الحصينة لقدرة الطيف وفق الانموذج المختلط ARMA مع تطبيق عملي
Some Robust Estimators For Power Spectrum According To The Arma Models With Application
اسم المؤلف:
سحر طارق محمود الرحيم
اسم المشرف:
عبد المجيد حمزة الناصر
الموضوع العام:
الادارة والاقتصاد
السنة:
2016
الموضوع الدقيق:
الاحصاء
الدرجة:
دكتوراه
الجامعة:
جامعة بغداد
اللغة:
العربية
مكان الجامعة:
بغداد
الصفحات الاولى:
المستخلص:
تهدف الاطروحة ايجاد افضل مقدر(التقدير الامثل) لدرجة ارتداد الانموذج المختلط ARMA ذي الدرجات المتدنية لقدرة الطيف Power Spectrum والحصول على امثلية التنبؤ، اذ ان مشكلة الاطروحة تكمن في خطا اعتماد اساليب تقدير درجة الارتداد قبل اطفاء اثر الشواذ التجميعية ( | The Aim of The thesis is finding the best estimator (optimal estimate) the degree of rebound mixed model ARMA with low scores to Power Spectrum and get optimizing forecasting, As the problem of the thesis lies the mistake of adopting methods of estimating rebound degree before extinguishing (AO) Outliers (additives Values) in an estimate operation based on data series without getting rid of the effect of the presence of Outliers. According to This thesis addressing the Existence of the Outliers, in particular, (AO) Outliers after addressing the existence of Outliers, then starting estimate the optimization for a rebound.When interest in Robust estimates we must identify the time series contaminated Outliers with a certain probability models is defined due to lack of stability in addition to the difficulty of knowing specimen probabilistic it appears at first paragraph leap suddenly are called stereotypes Bahawaz Innovation Outlier, late to be the behavior of independent gay behavior values the other called Bahawaz aggregate Additive Outliers.When interest in estimates fortified must identify the time series contaminated Outliers with a certain probability models Unlimited Parameters is defined due to lack of Stationarity in addition to the difficulty of knowing probabilistic model ,it appears at first paragraph sudden leap are called Innovation Outlier, or be an independent behavior of other values called Additive Outliers.Shows the experimental side of the Thiess through a standard MSE, MAPE preference of Robust method on the Unrobes for all sample sizes and for all primary parameters assumed values, as well as for all default frequencies values (Wi), have an adverse impact in terms of efficiency when models ARMA (0,1), ARMA ( 0.2), and very slight variation when the model ARMA (1,1) the impact of outliers and the supposed frequencies (w) = [1/4, 1 / 3.3, 1 / 2.5, ½] small.The nature of the electrical signal surveyed of heart (ECG - Electrocardiogram) a vital signal , unstable and the form of Signal spectrum reflects the Performance of the human heart muscle and its health.is random changes sharp and irregular in time series represents the work of the heart of a natural person (without straining) include what is known Outliers caused by its actual nature not the result of errors in the measurement or the register, which makes them do not follow a particular distribution, led to the difficulty of conducting Assessments for Power spectrum according to the traditional methods of estimation that assumes distributed statistically,In addition to that the data generation processes require the availability of basic assumptions is inconsistent with the nature of the Heart signal ECG, and to minimize or reduce these assumptions adopted by the simulation approach often leads to unrealistic and far from the real system results and establishes a breakthrough for good properties of these estimates that we have made it necessary to adopt the idea of Robust estimates (M - estimate) in accordance with the Robust functions (Huber, Hample, Tukey, Andrew) in addition to the method of maximum likelihood Mle according to restricted simulations in the practical side, which serves as a purification process or soften the Estimators resulting from follow of statistical estimation methods on real data to determine the best estimators of Power spectrum and the search for the best Model and section distribution , and then apply the result of a trade - offs in according to indicator the indirect transition of the speed of the signal (?/S2) between the Estimation functions and Distributions on eight of combinations of Mixed model ARMA (p, q) and estimating MSE, RMSE and selecting the optimum combination which is ARMA (2,2) with Extreem value distribution and with Hampel function at section 200, which amounted to (MSE = 0.000109).
👁 مشاهدة
دراسة تحليلية للعوامل البيئية المؤثرة على انتاج التمور في محافظة البصرة
An Analytical Study On The Effect of Environmental Elements On Dates Production In Basrah
اسم المؤلف:
سامر عادل عبد الله
اسم المشرف:
تهاني مهدي عباس الياسري
الموضوع العام:
الادارة والاقتصاد
السنة:
2016
الموضوع الدقيق:
الاحصاء التطبيقي
الدرجة:
دبلوم عالي
الجامعة:
جامعة بغداد
اللغة:
العربية
مكان الجامعة:
بغداد
الصفحات الاولى:
المستخلص:
اصبح المناخ اليوم من الموضوعات الرئيسية المهمة التي تحتل مرتبة الصدارة لدى جميع دول العالم المتقدمة والنامية، لاسيما بعد ان تبين بوضوح مدى التغيرات التي شهدها في العقود الاخيرة. والتي تحدث اما لاسباب طبيعية نتيجة اختلال في توازن النظام البيئي او لاسباب بش | Climate has become a key topic that occupies the forefront of all developed and developing countries around the world, especially after the climate change witnessed in recent decades, These changes occur due to either natural causes as a result of an imbalance in the ecosystem, or human causes such as human economic activities, these changes affected many aspects of life, one of which is the agriculture, including palm cultivation and dates productionThe aim of this research was to study the effect or the relationship between climate and dates production, which is considered one of the most important crops that can be relied upon economically. This research uses the method of Multiple Linear Regression Analysis to find out the climatic elements effecting the productivity of two types of dates (Helawi and Zehdi). The independent variables (climatic side) were the average of the yearly rates for (Maximum temperatures, Sunshine duration, Relative humidity, Wind speed and Suspended dust) in Basra city for the period (2005 - 2014), and the dependent variable was the average of the palm tree productivity measured in (kg), which represents the (agricultural side). The results showed that there are three factors (variables) affecting dates production of (Helawi), which are (sunshine duration, suspended dust and wind speed) because they were statistically significant. As for the (Zehdi), there were two statistically significant variables, which are (Sunshine and Maximum temperatures). The conclusions and recommendations were founded by using the Stepwise regression in statistical package (SPSS v19)
👁 مشاهدة
استعمال سلاسل ماركوف وشبكات بيز الديناميكية لاحتساب معولية شبكة ماء الاعظمية
Use of Markov Chains And Dynamic Bayesian Network To Calculate The Reliability of Water Network Adhamiya
اسم المؤلف:
زينب مجبل ابراهيم
اسم المشرف:
لميعة باقر جواد الجواد
الموضوع العام:
الادارة والاقتصاد
السنة:
2016
الموضوع الدقيق:
بحوث العمليات
الدرجة:
ماجستير
الجامعة:
جامعة بغداد
اللغة:
العربية
مكان الجامعة:
بغداد
الصفحات الاولى:
المستخلص:
اهتم الباحثين في دراسة المعولية والاتاحية لاستخدامها في مجالات عدة ومنها الطبية والهندسية والميكانيكية وفي علوم الحياة الخ. وهنالك اساليب وطرق مختلفة لدراستنا منها الطرائق المعلمية واخرى لامعلمية في معرفة التوزيع لاوقات الفشل وفي حالة فشل الباحث في التو | Researchers interested in the reliability and availability, to be used as a study in several areas, including medical, engineering, mechanical, and in the life sciences etc. There are different methods and ways to study such methods parametric and another for non - parametric to know the distribution of the times of failure in the case of a researcher failed to reach an appropriate distribution of one of these methods non - parametric is the style of Markov chains and dynamic Bayesian networks where the use of Markov chains to calculate the reliability and availability, and then draw a transitional scheme of the system consisting of these five units and the formation of differential equations governing the system and then solving these equations to find the probability that the network status assigned to be in time t was also a possibility account of the situation balanced when t is very large, and through it is calculated reliability and availability. But the style dynamic Bayesian networks as it has been translated dynamic fault tree to Bayesian networks, dynamic and has been the possibilities for calculating each phase of the network and calculating reliability through MATLAB software (2015a) and writing for each gate equations as the value of each of the gate static AND gate dynamic calculation WSP, a gate warm and the integration of the two preceding gates gate static OR after calculating the value of this gate is calculated reliability can be observed reliability decreasing values with increasing time as the reliability value when t = 0 is 0.999 that is, they are not equal to 1 because there are repairs to the network and value when t = 8640 is 0.023, and decreasing the reliability of the system with time and close to zero after 20 years from now
👁 مشاهدة
استعمال البرمجة اللاخطية في بناء نموذج رياضي لتخطيط الانتاج وفق قيود الخصم على الكمية المشتراة
Usage of Non - Linear Programming In Building A Mathematical Model For Production Planning According To Discount Constraints Put On Bought Amount
اسم المؤلف:
زينب علاء حميد
اسم المشرف:
عبد الرحيم خلف راهي الحارثي
الموضوع العام:
الادارة والاقتصاد
السنة:
2016
الموضوع الدقيق:
بحوث العمليات
الدرجة:
ماجستير
الجامعة:
جامعة بغداد
اللغة:
العربية
مكان الجامعة:
بغداد
الصفحات الاولى:
المستخلص:
في هــذه الرسالة تـم بناء انمـوذج تخطـيط الانتاج (على المـدى المتوسـط) في الشـركة العامـة لصناعة الزيـوت النباتيـة باستعمال اسـلوب البرمجـة اللاخطـية بسـبب قـيود الخصـم على المواد الاولية الداخـلة في المنتجات الرئيسـية للشـركة ودراسـة حالة الخصـم على ثلا | In this thesis was to build a model of production in the medium term planning in the general company for the manufacture of vegetable oils using nonlinear programming method due to the discount restrictions on raw materials involved in the company’s main products and study the opponent case of the only three products among the six products because they require intense mathematical calculations lead to a significant expansion of the research was to focus on that piecewise makes the target function is not linear because they contain a series of line segments included breakpoints that earn the target function form sporadic presence intermittent developments[2][43] , application of the style of programming integers on a linear model using the program Win Qsb plan earnings productivity (3,640,000,000) billion dinars the method algorithm simulated annealing on the nonlinear model using Matlab software profits of productivity amounted (7,556,100,000) billion dinars a difference (3,916,100,000) billion dinars note that the algorithm method of simulated annealing give the best of programming integers method results as the company achieved the fullest extent of the profits according to the opponent while programming the numbers in a manner correct, which in turn destroys the rebate check cases a small percentage of the profits. This means that the results that have been reached in a manner simulated annealing algorithm is better than the programming method of integers.
👁 مشاهدة
بناء انموذج رياضي لمشكلة النقل في ظل قيود ديناميكية الطلب مع تطبيق عملي
Building A Mathematical Model For The Transportation Problem Under The Dynamics of Demand Restrictions With Practical Application
اسم المؤلف:
زهراء قاسم هاشم
اسم المشرف:
عبد الجبار خضر بخيت
الموضوع العام:
الادارة والاقتصاد
السنة:
2016
الموضوع الدقيق:
بحوث العمليات
الدرجة:
ماجستير
الجامعة:
جامعة بغداد
اللغة:
العربية
مكان الجامعة:
بغداد
الصفحات الاولى:
المستخلص:
تم في هذا البحث بناء انموذج رياضي لمشكلة النقل لبيانات الشركة العامة لتجارة الحبوب في بيئة من الطلب المتغير وحدود على الكميات المعروضة والكميات المطلوبة , كما عالج الانموذج حالات الطوارئ التي تواجه الشركة من نقصان او عدم وصول كميات الحبوب للسايلوات وذلك | In this research we built a mathematical model of the transportation problem for data of General Company for Grain Under the environment of variable demand ,and situations of incapableness to determining the supply required quantities as a result of economic and commercial reasons, also restrict flow of grain amounts was specified to a known level by the decision makers to ensure that the stock of reserves for emergency situations that face the company from decrease, or non - arrival of the amount of grain to silos , also it took the capabilities of the tanker into consideration and the grain have been restricted to avoid shortages and lack of processing capability, Function has been adopted in the mathematical model is a total of two functions : the first linear to reduce the overall costs of the transportation problem And the second linear fractional represent the proportion of public expenditure for the silos to college profits.a balanced model and equivalent to model the original problem has been formulated. The results proved the efficiency of the model in the distribution of the amount of grain where the total cost was reduced to (24%) with ensuring the existence of reserve stocks and meet the demand of mills.where the reserve stocks sufficed nearly to a month and half , The total expense was reduced by (32%) and the profits ratio was maximize at (7%) , the mathematical model was solved by using,hadvancedrsoftware(LINGO14.0)
👁 مشاهدة
استعمال اسلوب بيز لتقدير منظومة المعادلات الانية في حالة المتغير الداخلي مصنف ثنائيا مع تطبيق عملي
Using Bayesian Approach To Estimate The Simultaneous Equations System In Case The Endogenous Variable Is Classified Binary With Application
اسم المؤلف:
ريسان عبد الامام زعلان
اسم المشرف:
محمد صادق عبد الرزاق الدوري
الموضوع العام:
الادارة والاقتصاد
السنة:
2016
الموضوع الدقيق:
الاحصاء
الدرجة:
دكتوراه
الجامعة:
جامعة بغداد
اللغة:
العربية
مكان الجامعة:
بغداد
الصفحات الاولى:
المستخلص:
ان عملية التقدير لمعلمات انموذج المعادلات الانية بالطريقة التقليدية من المواضيع المهمة والتي كتب عنها الكثير من البحوث والدراسات وهذه البحوث تختلف باختلاف الاساليب المتبعة في عملية التقدير الا ان التقدير بالطرق البيزية لهذه المعادلات وخصوصا عندما يكون ال | The process of estimation of parameters of the following equations has been done by the traditional method and being considered as an important subject. Many researches and books have been written about the subject and these researchers are different from one to another depended on the methods followed up. But the estimation with Bayesian methods for these equations , especially when the internal variables (classified binary ) being considered one of the subjects that have not been researched greatly. Thus , the researcher has tried to shed light on some methods of Simultaneous equations in case of binary variable by using the classic method and Bayesian method , along with a suggested way that being applied on the samples of the relationship between blood pressure and psychological pressure. The researcher has used the classic method and considered it as raw information for using the method of Bayesian in estimating the Simultaneous equations system. It has been compared between the classic method and Bayesian method and also methods of Bayesian with the suggested method according to the measurement of ( Mse) for specifying the better method for estimation. Problems have been specified lying in non - functionalizing the former information about the parameters in the process of estimation by using the known traditional methods and that lead to the less efficiency if not using it. Thus , it should resort to other methods as method of tradition , The goal of the study is to know the mutual interaction between the blood pressure and psychological pressure and comparing the traditional and Bayesian method in the estimation of Simultaneous equations of internal variable , classified binary by using many methods for Bayesian estimation with the suggested method for getting to estimations that are more close to values of the real parameters. it has been reached to many results ,most of which is the Bayesian method and suggested method that have been better in estimation than the classic method, besides there are mutual effects between blood pressure and psychological pressure and the most losing functions in estimation which is the " Q losing function"
👁 مشاهدة
استعمال الانتروبي مع طرائق اخرى في تقدير دالة بقاء توزيع كاما العام للسكان في العراق
Use The Entropy With Other Methods In Estimating The Survival Function of Generalized Gamma Distribution To The Population
اسم المؤلف:
رغدة زياد طارق العبيدي
اسم المشرف:
عمر عبد المحسن علي القيسي
الموضوع العام:
الادارة والاقتصاد
السنة:
2016
الموضوع الدقيق:
الاحصاء
الدرجة:
ماجستير
الجامعة:
جامعة بغداد
اللغة:
العربية
مكان الجامعة:
بغداد
الصفحات الاولى:
المستخلص:
تستخدم جداول الحياة في مجالات عديدة في البحوث الديموغرافية والصحية وتمثل مؤشرا هاما للوفاة في المجتمع. ويتم احتساب جداول الحياة من بيانات الوفيات لسنة معينة للمجتمع السكاني، لذا فهو يعبر عن حالة الوفاة للمجتمع.وهناك نوعين من جداول الحياة وهي : (جداول الح | Life tables used in many fields in the demographic and health research is an important predictor of death in population. Then, calculated life tables of mortality data for a particular year the population of the community, so it reflects the rate of death of the community in somehow. There are two types of life tables, called : (Complete Life tables) and were based on the age at death on the basis of single - year age groups (0,1, 2,3,..., 81+) and were usually obtained in a manner comprehensive survey or census in order to provide detailed information on the population. The second type called (Abridged life tables) were assumed from equal death rate for ages converged with each other and are therefore based on the age at death on the five - year age groups (0 - 1, 1 - 5, 5 - 10, 10 - 15,..., 80+) which is different from its predecessor and less accuracy than is obtained in a manner sample survey. In the absence of census of our beloved Iraq, where the last census was in (1997), so be getting the calculated probability of survival through accurate (survival function) within the life tables for single - year age groups was extremely difficult and mired with disorder problems you need to mathematical treatment in accordance with the distribution of probabilistic statistical but it's distributed data showed the distribution of the Generalized Gamma : (GG) with three parameters as the best fit of the data, with this distribution in turn includes the integration of (incomplete gamma function) is implicitly making it more difficult traditional appreciation. So two major goals were arise in this thesis.The first goal of a practical application goal, using (Sprague multipliers) to convert a five - year age groups into single age. The second goal of theory using the method of Principle of Maximizing Entropy : (POME) in assessing the function of survival and to deal and overcome the turmoil and volatility demographic data collected from (Iraq Household Socio - Economic Survey : IHSES II 2012). This thesis had studied the function estimating survival data mentioned above on two parts : the first part, parametric estimation methods which is the method of Principle of Maximizing Entropy : POME, the Classical method is the Maximum Likelihood : ML. The second part, has included nonparametric method to estimate survival function by nonparametric method (Kernel Smoothing) been used as (Gaussian function). The estimation methods were compared using statistical criteria are the root mean squares error (RMSE), and the average absolute percentage error (MAPE). Among the most important conclusions, was the preference for a ML method and kernel method when a simulation to get the proportions views of the probability distribution (GG) and in a manner Inverse Transformation Method : ITM only single - year age groups sized by (n = 81) and repeat the experiment (300) replicates. As well as to reach that way entropy is the best method dealt with five - year age groups, where in the case of single - year age groups, the nonparametric kernel was best in when the practical application part. Life tables using MORTPAK program as it has been considered survival function results (UN) calculated values real and comparing the methods of the three appreciation. One of the main recommendations, the use of the (POME) to overcome the turmoil of demographic data, especially a five - year age groups and the use of Sprague data conversion from five - year age groups to transactions single - year age groups and the use of nonparametric method of kernel to assess the function of survival of the single - year age groups and entropy for five - year age groups data.
👁 مشاهدة
استعمال نماذج بوكس وجينكنز للتنبؤ بكمية الانتاج لبعض المنتجات النباتية والحيوانية في محافظة بغداد
Using Box And Jenkins Models To Forecasting The Amount of Production of Some Plant And Animal Products In Baghdad Province
اسم المؤلف:
رباب علي عبد الرحمن السهيل
اسم المشرف:
ايمان محمد عبد الله المشهداني
الموضوع العام:
الادارة والاقتصاد
السنة:
2016
الموضوع الدقيق:
الاحصاء التطبيقي
الدرجة:
دبلوم عالي
الجامعة:
جامعة بغداد
اللغة:
العربية
مكان الجامعة:
بغداد
الصفحات الاولى:
المستخلص:
يعد القطاع الزراعي المتمثل بالانتاج النباتي والحيواني في العراق من القطاعات الرئيسة في الاقتصاد العراقي اذ يساهم في تكوين الناتج القومي الاجمالي، ويعد اهمال القطاع الزراعي من المراحل الاولى لظهور بوادر الازمة الغذائية احد اهم العوامل الكامنة وراء تعميق ال | The agricultural sector of plant and animal production in Iraq is one of the key sectors of the Iraqi economy wich contributes to the formation GNP, the neglect of the agricultural sector from the early stages of the emergence of signs of food crisis. One of the main factors behind the deepening food shortages in addition to the lack of succes of agricultural policies in placet o reduce the dependency of food outside and achieve self - suffciency in the country and that any development strategy to achieve food security in the country must take a development in the agricultural sector. To be able to study the changes that happen in the economic phenomena in the future and determining the values of these changes has tob e set up to rely on time - series analysis and that the time series have some numerical values for a statistical index that reflects the change phenomenon for time, and there are some analysis for the series in time zone from the most important statistical methods that are used to predict the values of random phenomena in the future based on what happend in the past, wich helps in future plan for a peaceful economic development and the most important methods are the time series model developed by the Box - Jenkins methodology for a seasonal subseries plot or a spectral plot. The research aims to predict the amount of domestic production and import of all of the Tomato and Chicken, so using the best model of the Box - Jenkins models.And in the search data to quantity of domestic production and import of each tomato and chicken in Baghdad province - Iraq BI - monthly inputs for time zone between January 2012 until december 2014, at rate of 72, the data was obtained from the directorate of Agriculutral - Baghdad Al Reafa - Statistics department. It’s also has been updated into the gretl program. The study consisted of both the theoretical side of the identification of the theoretical foundations of the Box - Jenkins methodology of the time series and after that the applied to the side of the the best model to predict domestic production to quantity and import of each tomato and chicken, after all that the researcher have a some conclusions and recommendations that benefit the peaceful development and plans for the advancement of the agricultural sector and the most important thing is, that the imported Tomatoes and Chickens is more than the locally produced ones, which indicates that the country depends on the imported Tomatoes and Chickens more than the produced.
👁 مشاهدة
تشخيص وتقدير دالة الانحدار اللامعلمي للبيانات المزدوجة في حالة عدم تحقق بعض فرضياته
The Diagnosis And The Estimation of The Nonparametric Regression Function of The Panal Data In Case Some of Its Hypotheses Are Not Verified
اسم المؤلف:
دريد حسين بدر
اسم المشرف:
ظافر حسين رشيد النجار
الموضوع العام:
الادارة والاقتصاد
السنة:
2016
الموضوع الدقيق:
الاحصاء
الدرجة:
دكتوراه
الجامعة:
جامعة بغداد
اللغة:
العربية
مكان الجامعة:
بغداد
الصفحات الاولى:
المستخلص:
اكتسبت نماذج البيانات المزدوجة اهتماما بالغا وخاصة في الدراسات الاقتصادية والطبية والمالية لانها تاخذ في الاعتبار اثر التغير في الزمن وكذلك اثر التغير في المشاهدات المقطعية على حد سواء في بيانات عينة الدراسة، فضلا عن وصف البيانات من خلال تقدير الانموذج ا | Panel data models have gained a great importance especially in economic, medical, epidemic and financial studies. Because these models take into consideration the impact of the change in time, the impact of the change in sectional views alike inherent in data of a study sample, in addition to describing data through Estimation of the appropriate model. In this thesis, we address the use of method of nonparametric regression in diagnosing and Estimation a model of panel data , as there are specific assumptions related to vector of random errors are not verified. This is because we are going to talk about a nonparametric problem and existence of Heteroscedasiticity and Auto correlated errors which make the process of Estimation wrong, or sometimes not possible. A model has been diagnosed through disclosing all of the problem of Heteroscedasiticity through the use of test (1996) (Zheng) and the problem of Auto correlation by suing test (2013) (Su and Lu). It has been indicated through handling a Nonparametric Hausman Test that the final model adequate for research data is Nonparametric Panel Data Model with Random Effects. Thus, finding Nonparametric Estimator has been tackled through dealing with each problem individually alongside with addressing methods of choosing the smoothing Bandwidth of the model of Random Effects. In case of correlated errors for all techniques of Nonparametric Regression, there are methods to deal with this problem, however all of the said depends critically on addressing estimation methods reliant on finding the choice of an optimal smoothing Bandwidth using more accurate standard until the removal of error process to attain an edited smoothing Bandwidth , of any correlation, is achieved. Then, we could Estimation a model by using Estimation methods. In case of Heteroscedastisity, treatment could be achieved through determining weight by Kernel Estimator, then to be used for the exclusion of the effects of Heteroscedasticity in the study variables through using estimation methods and provision of proposals for classic Nonparametric methods. The formulation of simulated experiments of used models and verification of performance of traditional and proposed methods, for all sample sizes and three levels of standard deviation trough the use of (RAMSE) standard, have been carried out in this thesis. One of the most significant objectives of this study is the selection of the best Estimation method produced by simulation through applying it on a group of balanced Panel Data (longitudinal). This could be conducted through carrying out a practical application to state the effect of the role of gross domestic product on fixed market prices measured in a US Dollar (x) in the state budget measured in millions US Dollars (y) for the period (2003 - 2015). This could be approached through depending on genuine data related to general budget for the Arab States measured by millions US Dollars. The gross domestic product has been focused on since it is the most important economic variable that impacts the budget, as an explanatory variable according to the viewpoint of the competent people for the period (2003 - 2015). The main conclusion in the experimental side is a clear preference in absolute terms to the fortified proposal of Least Square Support Vector Machine for Regression by using an (MGCV) standard on other used Estimation methods. This is in case existence of Auto Correlation as well as provision of a verified proposal for Propose (LCNE), relying on a Span, a selection standard, on other used Estimation methods in case existence of Hetroscedasticity, of all sample sizes, all cases and three levels of three standard deviation. As to practical side, an appropriate model has been diagnosed. Also, compatibility of the best method has been proven in the experimental side alongside with practical one, and the most appropriate for a model by using (RAMSE) standard
👁 مشاهدة
قياس الفقر متعدد الابعاد في العراق باستعمال مؤشرات اكسفورد OPHI
Measuring Multidimensional Poverty Using Oxford Indicators (OPHI)
اسم المؤلف:
حمدي محسن عليوي
اسم المشرف:
نبيلة عبد الهادي الشريف
الموضوع العام:
الادارة والاقتصاد
السنة:
2016
الموضوع الدقيق:
الاحصاء التطبيقي
الدرجة:
دبلوم عالي
الجامعة:
جامعة بغداد
اللغة:
العربية
مكان الجامعة:
بغداد
الصفحات الاولى:
المستخلص:
ان الدراسات والبحوث التي تخص الفقر متعدد الابعاد لم تجد اهتماما الا في السنوات القليلة الماضية ولاسيما بعد ان اطلقت مبادرة اكسفورد التابعة لبرنامج الامم المتحده الانمائي تقرير التنمية البشرية لعام 2010، حينها اصبح الاتجاة بالتحول من نمط القياس الفردي الى | Studies and researches that concerned in multidimensional poverty did not find any attention, except for the last few years especially after the initiative of oxford - the report of human development of 2010, since then, the pattern changed from the single measurement to multi measurement, by describing poverty in many variables instead of one variable (income). According to the initiative of oxford - the report of human development, Multidimensional poverty on a national scale in Iraq contain five main dimensions dimension consists several indicators (education, basic services, level of living, feeding and health and employment), each dimension consists several indicators. This study came to measure multidimensional poverty and knowing the poor rate and the poverty severity, on a national scale in Iraq and its(18) governorates, and also on an Environmental Scale (rural, urban), and then using the analysis of multidimensional poverty (Principal component Method), to determine the variables causing in forming these elements which affect multidimensional poverty, on the other side, and the central statistical organization also can benefit from this study, because this method has been used in Iraq recently. The main conclusions of the research was that the multidimensional poverty has recorded differences in Poverty rates between the governorates, since that (Erbil) has recorded the lowest Poverty rate than other governorates, and when compared with (Wasit) which has recorded the highest Poverty rate, it will show that on each poor individual in (Erbil), on the other hand there is Five poor individuals in (Wasit), also the severity of poverty was high in all of the Governorates, even in governorates that has low poverty rates. On the Environmental scale (rural, urban), the multidimensional poverty in rural was four times bigger than urban. The results also shown that There are five main elements that affects multidimensional poverty on an Iraq scale, in another side, there were six elements effecting in (rural, urban) scale.
👁 مشاهدة
تقدير الدالة اللامعلمية للبيانات العنقودية
Nonparametric Regression Function Estimation of Clustered Data
اسم المؤلف:
حلا كاظم عبيد
اسم المشرف:
سجى محمد حسين الهاشمي
الموضوع العام:
الادارة والاقتصاد
السنة:
2016
الموضوع الدقيق:
الاحصاء
الدرجة:
دكتوراه
الجامعة:
جامعة بغداد
اللغة:
العربية
مكان الجامعة:
بغداد
الصفحات الاولى:
المستخلص:
البيانات العنقودية تظهر في الكثير من العلوم الاجتماعية والصحية والسلوكية. وتتميز هذا النوع من البيانات بوجود الارتباط بين مشاهداتها. وممكن التعبير عن العنقدة من حيث العلاقة بين القياسات على الوحدات ضمن نفس المجموعة فان النماذج الاحصائية تحتم على حساب الار | Cluster data appears in a lot of social, health and behavioral sciences. And featuring this type of data link between the presences of her observations. And possible expression of clustering in terms of the relationship between measurements on units within the same group, the statistical models makes it imperative for the link account at every level, because failure to do so leads to misleading results. Hence the importance inside the Observations link to the estimating of the function non parametric for cluster data where the use of parametric method for ICON is always desirable to estimate some functions Because of the shape of the data is unknown in advance the appropriate function or as a result of the existence of some obstacles so it is the use non parametric method to estimate (smoothing) Nonparametric function.. Research has shown developed in recent times on the use of non parametric regression when parametric the assumptions are unfulfilled. And non parametric regression allows greater flexibility of functions dependent variables resulting from the data. Previous research has touched on the case of cluster data estimating the ways non parametric and semi parametric methods and was adopted state of neglect of the link within the same cluster property data that distinguish cluster data is particularly. And local kernel estimator achieved more efficient negligently correlation within clusters (even if the correlation is in the interest the study). While some touched on the case taking correlation between Observations per cluster using the estimated equations. Others had created the kernel methods in the case of cluster data behave completely different from the behavior of the capabilities of the spline estimator as has achieved kernel methods results more efficient when the neglect of the link within the clusters, while spline methods results achieved less variance of smoothing fixed parameters at taking the link inside clusters into account in the estimation process.So in this thesis will be nonparametric function estimating for clustered data using the Seemingly Unrelated Kernel Estimators, and The Generalized Least Squares Smoothing Spline Estimators and propose Robust methods and comparison of the methods listed above to indicate the best estimate of the nonparametric function estimating for clustered data, taking into account the structure of the link within the clusters were cluster data, The adoption of cluster data, which has the same number of explanatory variables within each cluster. To achieve this, thesis was divided into five chapters, the first chapter included introduction and aim of the research and reference review, either Chapter II now include the theoretical side which discussed the methods used to calculate the non parametric function of cluster data in the presence of the link. While included Chapter III experimental side (simulation) and the application addressed method in the second chapter and the statement of the best way has less (MAE) or (MSE). and either the fourth chapter includes the applied side to the real data for the proportion of white blood cells and its impact on the proportion of blood per patient (cluster) and Chapter V which includes the most important conclusions and the recommendations.it is through simulation experiments have been finding the best way to estimate the non parametric function for cluster data and a way The robust Generalized Least Squares Smoothing Spline Estimators in the case of a correlation. It was the application of all methods of the practical side using real data about the proportion of white blood cells and their impact on the proportion of blood hemoglobin for patients with blood cancer (leukemia).
👁 مشاهدة
مقارنة احصائية للحالة الصحية لاطفال المحافظات الجنوبية دون الخمس سنوات بين عام 2006 و2011
Statistical Comparison of The Health Status of Children Under Five Southern Provinces Between The Years 2006 And 2011
اسم المؤلف:
حسين عيسى مسلم القريشي
اسم المشرف:
اسماء نجم عبد الله
الموضوع العام:
الادارة والاقتصاد
السنة:
2016
الموضوع الدقيق:
الاحصاء التطبيقي
الدرجة:
دبلوم عالي
الجامعة:
جامعة بغداد
اللغة:
العربية
مكان الجامعة:
بغداد
الصفحات الاولى:
المستخلص:
العراق هو احد الدول التي عانى اطفاله من ظروف صعبة جدا , فواقع العراق السياسي جعل اجيال عدة تعيش في ظروف انسانية غير طبيعية لعقود من الزمن ان هذا البحث يهدف الى اجراء مقارنة للحالة الصحية للاطفال دون سن الخمس سنوات في المحافظات الجنوبية بين2006 و2011 اعتم | Iraq is one of the states that children suffering from very difficult circumstances, the reality of Iraq's political make several generations living in abnormal humane conditions for decades that this research is aimed at a comparison of the health status of children under five years of age in the southern provinces between 2006 and 2011, a researcher in the study approved the cluster survey data multi - third variables in the 2006 survey cluster multi - fourth variables in 2011, which Ajerthm the Ministry of planning / Central Bureau of Statistics, was taking the most important influences on children's health, including malnutrition, disease, diarrhea, respiratory infections, vaccines, drinking water, sanitation health, quality of feeding, social, educational and axis through the use of style analysis world by using Principal Component analysis to derive the most explanation of the health status of the children of Iraq in two years, factors and through the use of some software statistical shelf SPSS to show results concluded the researcher as shown by the results of the analysis the World in 2006 for the provinces as a whole that there are five significant factors that control the thirteen variables involved in the search on the southern provincial level either in the year 2011 for the provinces, the results showed the presence of four significant factors that control the three variables ten We note that the number of factors decrease between two and it conclude that health status in advance, either for the environment. in the year 2006 showed the results of factor analysis of the present, there were five significant factors that control the variables as a whole Lama in 2011 Veugd also five influential moral factors in health status and conclude that there is no difference in health status between the two for the present, As for the countryside were the results of the analysis the global him that he showed in 2006, there are five significant factors that control the thirteen variables involved in the search and in the year 2011, the results showed the presence of five moral factors controlling the variables and here we conclude that the lack of difference in the number of factors for the countryside between the two but there is an increase in the strong variables within the factors in the year 2006, which infer the existence of a very simple interest in rural health. the results also showed that the strongest variables influence the health aspect which vaccines variables making it one of the most important variables for the years 2006 and 2011 and we can call this component component health and that the strongest variables and rank second is the second component as included variables (diarrhea, coughing disease, the quality of the land housing, child's height, weight of the child, breastfeeding, the child's age, number of children under five years in the family) and we can call this vehicle as the (environment Child). It is the most important recommendations were are 1 - Give the subject of child health under five years of great interest by the state and the provision of supplies for all of it 2 - the need for attention and attendance routine vaccines to take the vaccines in a timely manner with the need to keep Bacart vaccines to know when the vaccine 3 - Increase health campaigns carried out by the Ministry of Health and for more than a vaccine as well as increased dropouts campaigns for all routine vaccines
👁 مشاهدة
بناء نموذج صفوف الانتظار باستخدام المقدرات الحصينة لقسم الباطنية / مستشفى بغداد التعليمي
Building Queuing Models Using Robust Estimators For The Department of Internal / Baghdad Teaching Hospital
اسم المؤلف:
حسنين حامد احمد الطائي
اسم المشرف:
مروان عبد الحميد عاشور
الموضوع العام:
الادارة والاقتصاد
السنة:
2016
الموضوع الدقيق:
بحوث العمليات
الدرجة:
ماجستير
الجامعة:
جامعة بغداد
اللغة:
العربية
مكان الجامعة:
بغداد
الصفحات الاولى:
المستخلص:
ان للشواذ الاثر الاكبر في عملية تقدير معلمات توزيعي الوصول والخدمة لنماذج صفوف الانتظار، عليه كان لابد من استعمال طريقة لاختبار هل ان هذه البيانات تحتوي على قيم شاذة ام لا، فجرى استعمال طريقة ( Tukey ) لهذا الغرض، وقد تبين ان هناك مشاهدات شاذة في مقدرات | As the Outliers greatest impact in the process of estimating the distribution of arrival and service parameters, it was necessary to use the method to test Are these data contain abnormal values or not, ran the use method ( Tukey ) for this purpose and is of the most popular ways to discover the outliers, and have found that there are views abnormal ( outliers ) in the estimators of a distributed both arrival and service, which have a significant impact on the calculation of these estimators have been addressed through the use of robust estimation methods ( Robust estimation methods ) be of the effectiveness and feasibility of giving robust estimator better than the estimated normal extracted function in a manner as possible the greatest normal ( Ordinary Maximum Likelihood estimation ) ( MLE ) , as was the use of the estimators of the greatest possible function weighted ( weighted Maximum Likelihood estimation ) ( WMLE ) in the estimation process, was the best estimate is the estimated robust existence of outliers that have had the greatest impact on the process of improving the efficiency of the performance of a queueing theory, which led to relieve pressure on the service system, which in turn reduces delays for patients.Robust queues models applied and their role in improving the performance of the Department of Health in Baghdad / city of Medicine / Baghdad Teaching Hospital / Advisory clinic esoteric. It was found that the views of extremist dramatically affect the outcome queue estimates of the distributional arrival and service which will reflect negatively on the measurements of the efficiency of performance indicators queuing system and therefore it leads to non - solid results because that way possible ( Robust Maximum Likelihood Estimation ) ( RMLE ) used in the process of estimating the parameters were the best way possible regular ( MLE ) , as the method used was able to find robust estimator good efficient and of great effectiveness and that processed data containing outliers in the sample.Through Applied study of data researcher found that the queue model was (M / M / C) : ( GD / ? / ?) at a rate of three doctors who represent a number of service channels and the size of the community, as well as the size of both unlimited system.The key findings of the research is to adopt robust estimators for distributional arrival and service models queues in general because they are working to address the impact of outliers winning in the data.
👁 مشاهدة
مقارنة بعض المقدرات البيزية الحصينة مع مقدرات اخرى لانموذج GARCH(1.1) مع تطبيق عملي
A Comparing of Some Robust Bayesian Estimators With Another Estimators For Garch (1.1) With Practical Application
اسم المؤلف:
جنان عبد الله عنبر
اسم المشرف:
نزار مصطفى جواد الصراف
الموضوع العام:
الادارة والاقتصاد
السنة:
2016
الموضوع الدقيق:
الاحصاء
الدرجة:
دكتوراه
الجامعة:
جامعة بغداد
اللغة:
العربية
مكان الجامعة:
بغداد
الصفحات الاولى:
المستخلص:
تعاني بعض السلاسل الزمنية من التقلبات او عدم الثبات في التباين مثل السلاسل المالية والاقتصادية والبيئية وغيرها, وقد يرافق ذلك وجود التلويث او القيم الشاذة في تلك السلاسل والذي يرافق عملية جمع البيانات في اغلب الاحيان ولاسباب عديدة قد يؤثر ذلك بشكل كبير عل | Some of time series suffer from volatility or instability in variation, such as financial , economic , environmental and other time seriesIt was accompanied by the presence of contamination or stray values in those chains that accompanies the data collection process often for many reasons, which greatly affect the estimation models parameters and thus makes the estimated models parameters and thus makes the estimated models are inaccurate and affect the future in the forecasting process this makes the process of estimation the traditional methods is not accurate and not feasible in practice and that is what led many researchers to find alternative methods of estimating for those methods reduce the impact of contamination and the volatility in the process of estimating the time series models,, including autoregressive conditional heteroscadestic models family (ARCH and GARCH). So the goal came thesis complement the work of researchers as thesis aims to find robust Bayesian estimators to the estimate first order generalized autoregressive conditional heteroscadestic model GARCH (1.1) when errors followed normal distribution, and that by proposing three robust Bayesian methods to estimate a method (y ?BM.Bayes) and method (BM.Bayes) and the reduced method (BM.Bayes Shrinkag). As was the use of certain methods of estimation models (GARCH), such as (MLE) traditional method of estimation and the method of (Bayes) and three robust bounded methods a (BM.Huber) and two methods by the proposed (BM.Hample) and (BM.Tukey). The use of simulation in the style of the experimental side for a comparison between the methods adopted in research using polluting ratios (0% 0.1% 0.10% 0.15% 0.20%) and volumes of samples (500, 1000.1500), In addition to the use of different values of the parameters it is found favorable proposed method (BM.Bayes) be when the values of the two parameters (?1, ?) close to each other when any correlation strength is high , Simulations were also on the values of the parameters of the real series that have been estimated in a manner program application (MLE) and some of them were far from any values that weak correlation strength , It turns out that the best method was the proposed (BM.Bayes.Shrinkag). In the practical side it has been stated in the application of the theoretical side of the building stages of the model and testing of those stages on a series of (1254) Show prices daily sales of Basrah, for the period (2 \ 1 \ 2008 - 31 \ 12 \ 2012) through the application of the proposed third method (the reduced method) (BM.Bayes Shrink) which was best when applied to the estimated values of the parameters in a manner (MLE) in the experimental side as it made less (MSE) and estimate the appropriate model GARCH (1,1) proposed the adoption of the reduced way (BM.Bayes.Shrinkag).
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واقع الخصوبة في العراق بالاعتماد على خارطة الفقر ووفيات الامهات لسنة 2013 : دراسة احصائية
The Reality of Fertility In Iraq Based On Poverty And Maternal Mortality Map For 2013 Statistical Study
اسم المؤلف:
بشرى نصيف جاسم
اسم المشرف:
ابتسام كريم عبد الله
الموضوع العام:
الادارة والاقتصاد
السنة:
2016
الموضوع الدقيق:
الاحصاء التطبيقي
الدرجة:
دبلوم عالي
الجامعة:
جامعة بغداد
اللغة:
العربية
مكان الجامعة:
بغداد
الصفحات الاولى:
المستخلص:
تعد الخصوبة احدى المكونات الرئيسة الثلاثة التي تقرر معدل النمو السكاني الى جانب الوفيات والهجرة. ومن ثم فهي تؤثر في مجمل البنية الديمغرافية والاقتصادية والاجتماعية للسكان وفي هجرتهم وتوزيعهم الجغرافي. وتعد الولادة عاملا بايولوجيا اكثر تعقيدا واصعب دراسة | Fertility is one of the three main components that determine the rate of population growth as well as mortality and migration. And thus it affects the overall demographic, economic and social structure of the population and in their migration and geographical distribution. Birth of biological factor is more complex and more difficult study of global deaths and migration due to the complexity and diversity of influences and volatility. fertility is calculated by the number of children born in a given year to the number of women in the age group (15 - 49) for the same year. And that the birth rate is controlled by several decisions about child - bearing or not.It has been estimated that fertility rates of direct and indirect ways by using the method (Brass and the way Cole - Trassel) In addition to identifying the most important factors that affect the total fertility rate by relying on survey data map of poverty and maternal mortality for the year 2013 for the purpose of calculating the total fertility rate for IraqI province (18 Province) direct method as well as the calculation of the independent variables, which is believed to have an impact on total fertility rates that have used one of the statistical packages which is Spss21 using multiple regression Stepwise factors method is a (family size, average per capita income, per capita spending on health, infant mortality rate, the proportion of poverty, the percentage of married - old (15 - 49), the percentage of illiterate women (15 - 49), the percentage of economically active women, the percentage of women in rural areas, the percentage of women with chronic diseases (15 - 49), change the place of residence (internal migration), the average age at marriage, percentage of the population under 15 years, the percentage of homes equipped with national electrolyte, the percentage of women (15 - 49) in addition to the use of the program (Spectrum) to estimate the total fertility and the preparation of the population and the rate of annual population growth and life expectancy of death as well as the median age for the period (2013 - 2050), according to fertility assumptions (high, medium and low level) for the purpose of population policy in the long run as well as the review of the most important demographic theories that are related to fertility and estimate a record number of fertility in Iraqi , and calculating the national fertility index for the year 2013 in Iraq, which amounted (14%) also were awarded a singles record (INP) of fertility on the basis of considering the 1997 base year
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تقدير معلمات انموذج المعادلات الهيكلية المتضمن متغيرات الوساطة مع تطبيق عملي
Estimation of Structural Equations Model Parameters With Practical Application
اسم المؤلف:
بشرى سعد جاسم
اسم المشرف:
غفران اسماعيل كمال
الموضوع العام:
الادارة والاقتصاد
السنة:
2016
الموضوع الدقيق:
الاحصاء
الدرجة:
ماجستير
الجامعة:
جامعة بغداد
اللغة:
العربية
مكان الجامعة:
بغداد
الصفحات الاولى:
المستخلص:
يستعمل تحليل الانحدار مع المتغيرات المصنفة الى صنفين صنف يمثل متغيرات مستقلة (Independent variables) واخر يمثل متغيرات تابعة (Dependent variables), فلذلك يقوم تحليل الانحدار بدراسة العلاقة بين المتغيرات المستقلة والمتغيرات التابعة, الا ان هذا التحليل يعمل | regression analysis use with classified variables into two class that represents the independent variables (Independent variables) and the other is a subsidiary variables (Dependent variables), for there the regression analysis study the relationship between independent and Dependent variables, but , this analysis works to know only the direct impact between the variables for this reason i use the structural equation Model (SEM) to identify and know the variables that are of indirect effects by estimating and testing parameters by set of methods (steps causal method, bootstrap method, method of multiplying the transaction ( parameters) product of coefficients, difference in coefficientsstructural equation model like other models are a matching variables tested with the phenomenon studied , test the compatibility of the variables that make up a structural equation model, and to achieve this condition, use Confirmatory Factor Analysis (CFA) way to see match variables that compose it. After confirming the conformity of the model or suitability experimenting and having the effect of mediating variable in the model and mediation are two types : Single mediation where transmission of the influence of the independent variable to the dependent variable through the mediation of a single variable, and multiple mediation where is transition Effect independent variable x to the variable y through several mediation variables. the practical side of study include the effect of cultural stat of the man (X) in the use of violence against women (Y) through a series of mediation M_1variables represent (women's empowerment) and M_2represents (family planning) and the study data are taken from the integrated survey of social and health state for Iraqi women (I - WISH) for the year 2011 in the Ministry of planning - Central Statistics organazation, and this data applied conditions of adequate to structural equation model SEM and, and then estimate the parameters mediating variables and test their ability to move the indirect effect by the methods mentioned above using a program.AMOS V.23The researcher concluded that a moral mediation variables tested when using standard errors formulas for (Sobel and Goodman and Aroian) and compensated for in the test version of z all results be close itself in the other the researcher contrast were recommendations of the research is to use a single version of the standard errors formats (Sobel and Goodman and Aroian) to test the effect of mediating variables in the model, as the researcher found that the independent variable X (cultural condition of the man) affects the Y variable (violence against women) indirectly through mediation M_2variable (family) organization.
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التنبؤ باستعمال نماذج الانحدار الذاتي العامة المشروطة بعدم تجانس التباين (GARCH) الموسمية مع تطبيق عملي
Forecasting The Use of Generalized Autoregressive Conditional Heteroscedastic Models (GARCH) Seasonality With Practical Application
اسم المؤلف:
بريدة برهان كاظم
اسم المشرف:
فارس طاھر حسن الكواز
الموضوع العام:
الادارة والاقتصاد
السنة:
2016
الموضوع الدقيق:
الاحصاء
الدرجة:
ماجستير
الجامعة:
جامعة بغداد
اللغة:
العربية
مكان الجامعة:
بغداد
الصفحات الاولى:
المستخلص:
مما لا شك فيه، تحظى نماذج GARCH) ) بالفاعلية والشعبية الكبيرة في نمذجة البيانات الاقتصادية والمالية، اذ تسمح للتباين المشروط بالتغير عبر الزمن، مما يجعلها اكثر واقعية في المجال الاقتصادي. وتتوفر ميزة اخرى مهمة في عالم الاقتصاد، ممثلة بالموسمية، الت | Un doubtedly , The GARCH model is very popular and effectiveness in economic and financial data , since it allows the conditional variance to vary over time , which makes them more realistic for the economic world. And there is another important characteristic in the economic world , Represented seasonality , that exist in high frequency data such as daily series , it can be seen in the real data of the exchange rate IQD/USD , Because there are seasonal conditional heteroscedasticity clearly shows in this data , Thereby are dealt with this type of data using Multiplicative seasonal generalized autoregressive conditional heteroscedastic models , Because it is proven effective to express their seasonal phenomenon on the contrary GARCH models which do not contain seasonal vehicle. hence the aim of the research reaching a better model represents the seasonal data with proof of the effectiveness of the seasonal model in preference to the usual model. it has been used to detect seasonal presence in the data first , after that was diagnosed a problem of heteroscedasticity passing through the phase estimation using the conditional maximum likelihood and assuming normal distribution of errors , then determine the appropriate rank of the model using a number of special criterian Represented each of the Akaike Information Criterion (AIC), Schwartz Information Criterion (SIC) , Hannan Quinn Information Criterion (H - Q), down to the stage to predict , using two method to predict the first is the prediction in the sample , which objective was to infer the efficiency of the preferred model and the second way forecasting out of sample any prediction of future values.it is found through the application on the study data stages that the best model for predicting volatility is SGARCH (1,0)(1,0).
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تقدير دالة الانتاج لبعض الصناعات التحويلية : دراسة تطبيقية
Estimating The Production Function For Some Manufacturing Industries (Application Study)
اسم المؤلف:
براء خليل ابراهيم
اسم المشرف:
احلام احمد جمعة
الموضوع العام:
الادارة والاقتصاد
السنة:
2016
الموضوع الدقيق:
الاحصاء التطبيقي
الدرجة:
دبلوم عالي
الجامعة:
جامعة بغداد
اللغة:
العربية
مكان الجامعة:
بغداد
الصفحات الاولى:
المستخلص:
تعد الصناعات التحويلية من الفروع الاساسية للقطاع الصناعي وهي احدى الانشطة الانتاجية التي ترتكز عليها الدول وتشغل موقعا مركزيا في اقتصاديات المجتمعات من حيث مساهمتها في دفع التنمية الاقتصادية, ومن المعروف ان زيادة الانتاج في اي منشاة صناعية يعتمد على مست | Transform manufacturing is one of the principle branches of the industrial sector which is one of the productive activities that countries emphasize and occupies a central position in the economies of the communities in terms of their contribution to economic development. It is well known that to increase production of any industrial facility depends on the level of productivity for each element of the production line. The goal of this research is; to find an estimate of the production function coefficients (Cobb - Douglas) for some manufacturing model, in a small industrial facilities in addition to the estimate of Multiple Linear Regression model to demonstrate the contribution of the factors of production to the number of employees and the value of input parameters (Independent Variables) on the value of production (Dependent Variables) by using the data that have been obtained from the annual reports issued by the Industrial Statistics Directorate of the Central Statistical Organization, for the period of (1990 - 2014) and thus address the research in theoretical side to a function (Cobb - Douglas) and their characteristics to the Multiple Linear Regression model. The results has shown that all the regression models were all true and statistically significant and satisfy the assumptions of the basic normals of the least squares. On the other hand the model for manufacturing of leather products suffered from the problem of Autocorrelation has been addressed, as (Cobb - Douglas) function estimates showed that industries with intensive use of labor as a reflection to a flexible working capital compared with the flexibility and facilities characterized by increasing returns to scale and characterized as labor intensive.
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تقدير نماذج مختلطة للبيانات المصنفة مع التطبيق العملي
Estimation Mixed Models Using Catacorical Data With Application
اسم المؤلف:
ايناس عبد الحافظ محمد
اسم المشرف:
خالد ضاري عباس الطائي
الموضوع العام:
الادارة والاقتصاد
السنة:
2016
الموضوع الدقيق:
الاحصاء
الدرجة:
دكتوراه
الجامعة:
جامعة بغداد
اللغة:
العربية
مكان الجامعة:
بغداد
الصفحات الاولى:
المستخلص:
يعتمد مفهوم التوزيعات المختلطة ( المركبة) في تطوير نماذج مناسبة للبيانات المصنفة , وقد تم في هذا البحث ايجاد بعض الانماذج الاحتمالية الملائمة لهذه البيانات ومن ثم العمل على تقدير معلمات هذه الانماذج.وبعد تشخيص اوتحديد نوعي التوزيعات وهما (التوزيع المركب | The concept of mixed distributions depends (composite) in the development of appropriate data seed models, has been in this research finding some models appropriate probability of this data and then work to estimate the parameters of this models. After diagnosis Aothdid two types of distributions, namely (compound beta - Bainomal (Beta - distribution Binomial) and the distribution of Ganerlized logarithmic Series distribution (GLSD)) has been working to estimate the parameters of these distributions methods usual such as way as possible (MLE) and the method of moments (Moment) and the method of Chi - square (Chi - squar) and methods of unconventional such as search cuckoo algorithm Hawwarzmih simulated annealing. The theoretical side included the concept of vehicle models and how to configure form by probabilistic normal function and methods different appreciation such as method Maximum Likelihood Function (MLE) and the method of moments (Mom) and a method to minimize Chi - square (Minimum) and methods of artificial intelligence techniques such as search cuckoo algorithm (Cock Search) algorithm simulated annealing (Simuannling) has been presented simulation has been adopted in the comparison between the estimation methods and we had simulated experiments at different volumes of samples( n= 20, 50, 100,250). And repeat each experiment R = 1000 to achieve the goal and were compared using statistical measurements (MSE, AMPE) found that the best method (cuck) which is proposed by the researcher. The researcher numbers Bernamjeh (Matlab, R2005 B) and put all the results in the tables either the practical side and having briefed researcher at data rates of disability and for the period of (2007 - 2010) obtained through the health center for the disabled has been the comparison between Models through criterion (AIC) the standard bayes Information (BIC) and the standard G2) the researcher found that the capabilities of the search cuckoo algorithm is better than during the experimental side, therefore this algorithm applied to real data to complement the tests of good matching, which enabled Khalalhl the researcher presented the practical application of the private tables results. It was found through statistical analysis that in the year (2011) has a lower standard Akaki for the distribution of the compound compared with the distribution chain logarithmic year, which indicates that it has the best modelFrom the conclusions that have been reached by using way (GIBS) in the simulation of mixed distribution and the method of rejection and acceptance (Reject, Accept) for distribution Genaralized logarithim Series is that the capabilities of the specimen landmarks using the best in terms possess the lowest average error boxes in sizes small samples search cuckoo algorithm is medium and large The rest of the roads were estimates varying values. It has been presented the recommendations that emerged from the thesis as well as future research
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استخدام التحليل العنقودي في تصنيف القرى المنتجة للمحاصيل الشتوية في العراق للفترة من 2005 - 2014
The Use of Cluster Analysis To Classify Villages Producing Winter Crops In Iraq For The Period From 2005 - 2014
اسم المؤلف:
ايمان احمد ياسين
اسم المشرف:
لقاء علي محمد العلوي
الموضوع العام:
الادارة والاقتصاد
السنة:
2016
الموضوع الدقيق:
الاحصاء التطبيقي
الدرجة:
دبلوم عالي
الجامعة:
جامعة بغداد
اللغة:
العربية
مكان الجامعة:
بغداد
الصفحات الاولى:
المستخلص:
يعد القطاع الزراعي من القطاعات الاقتصادية المهمة والتي تسهم وبدور كبير في تحقيق التنمية الاقتصادية والاكتفاء الذاتي في البلدان النامية والمتقدمة على حد سواء. كذلك تسهم في تكوين الناتج المحلي الاجمالي للبلدان النامية. لذا ولاهمية هذا القطاع الحيوي فقد تط | The agricultural sector of the important economic sectors that contribute to the large role in achieving economic development and self - sufficiency in developing and developed countries alike. As well as contribute to the formation of the gross domestic product of developing countries. So to the importance of this vital sector has dealt with the subject of classification producing provinces for wheat and barley crops, This research aims to study the problem of classification producing provinces for wheat and barley crops in Iraq except Kurdistan region for the year 2005 and 2014 and the statement of the most productive agricultural provinces of both crops winter The importance of this the problem is that to study the basic winter field crops in Iraq which are represented by wheat and barley, that occupy a prominent place for food security for both producers and consumers in Iraq I have been using cluster analysis and analysis of variance two way in data analysis and use as well as in the classification of producing provinces for wheat and barley crops based on clusters extracted from analysis and research found a number of results to reach a state of clustering between some provinces according to the homogeneity of winning them according to the average yields dunum of the total area and also depending on the style of the bilateral variation, which helps in the moral values and the test that caused this moral knowledge analysis for the period from 2005 - 2014. The software used is the statistical package SPSS program.
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مقارنة بين اختبار (Gold feld Quandt) الحصين مع اختبارات اخرى للكشف عن عدم تجانس التباين بوجود القيم الشاذة
A Comparison of The Test (Gold Feld Quandt) Modified With Other Tests To Detection The Presence of Heterogeneity of Variance of Outliers Values
اسم المؤلف:
ايلاف بهاء علوان
اسم المشرف:
محمود مهدي حسن البياتي
الموضوع العام:
الادارة والاقتصاد
السنة:
2016
الموضوع الدقيق:
الاحصاء
الدرجة:
ماجستير
الجامعة:
جامعة بغداد
اللغة:
العربية
مكان الجامعة:
بغداد
الصفحات الاولى:
المستخلص:
ان مشكلة عدم تجانس التباينات في حالة وجود القيم الشاذة لها جانبان الاول : هو كيفية تعامل الاختبارات مع مشكلة عدم تجانس التباينات في حالة وجود القيم الشاذة بالنسبة لانموذج الانحدار الخطي المتعدد حيث نلاحظ ان الاختبارات الاعتيادية (الكلاسيكية ) تعاني من مشا | The problem heterogeneity in the case of the presence of outlier values has two important sides. The first is how to handle the test, which have the problem of lack of heterogeneity in the case of outlier values for the multivariate linear regression model where we notice that the usual tests (the classical) have the problems in the results, and the results obtained will be inaccurate and misleading. Therefore, these will be unreliable results, so it is necessary to use other tests to substitute the regular tests, they will work in the same way of normal teste in the absence of the problem of heterogeneity and they are called robust tests. These tests are Modified GoldfieldQuant, Modified Bayes, and Modified levene. Different percentages of data were cut which are (10% , 25% , 40%) assuming normal distribution of data. A comparison was made of the mentioned tests by using soft ware power of the test of Monte Carlo Simalation then detect the best test by force standard where Bayes robust was the best test for detecting the problem of heterogeneity in the presence of outlier valuesand gave reliable results. In the second side, Box plot was used for the detection of outlier values in real data. As for the practical side, data from the agriculture and cultivation of planning and follow - up / meteorological center were collected and used in this study on the four variables for the year 2013 - 2014 and the variables are : Raining rate (y).Air pressure (x_1).Temperature rate (x_2).Humidity rate (x_3).
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الطرائق البيزية والتقليدية في تقدير معلمات بعض نماذج بواسون غير المتجانسة مع تطبيق عملي : بحث مقارن
Bayesian And Ordinary Methods For Estimating Parameters of Some Non - Homogeneous Poisson Models With Practical Application Comparative Research
اسم المؤلف:
ايات صادق جعفر
اسم المشرف:
ايمان حسن احمد
الموضوع العام:
الادارة والاقتصاد
السنة:
2016
الموضوع الدقيق:
الاحصاء
الدرجة:
ماجستير
الجامعة:
جامعة بغداد
اللغة:
العربية
مكان الجامعة:
بغداد
الصفحات الاولى:
المستخلص:
تعد عمليات بواسون غير المتجانسة احدى الموضوعات الاحصائية التي اصبح لها اهمية في جميع العلوم ولها تطبيقات واسعة في مختلف المجالات كنظرية صفوف الانتظار والانظمة القابلة للاصلاح وانظمة الحاسوب والاتصالات ونظرية المعولية وغيرها، كما تستعمل عمليات بواسون غير | The Non - Homogeneous Poisson process considered one of the statistical subjects which had an importance in other sciences and had a large application in different areas as the theory of waiting raws rectifiable systems, computer and communication systems and the theory of reliability and many other, also it used in modeling the phenomenon that occurred by unfixed way over time (all events that changed by time).This thesis deals with some of the basic concepts that are related to the Non - Homogeneous Poisson process, also this research mentioned two models of the Non - Homogeneous Poisson process which are the power law model , and Musa - okumto , also many different methods have been used in the estimating the parameters of the model , of which the classic methods would be used , maximum likelihood method and moment meethod to estimate the parameters of power law and Musa - Okumoto model , in addition to that the use of Bayesian method in the estimation of the parameters of the two models which are used in this research , in order to find the best way in the estimation , we referring to simulation manner in which we tested four size of samples ( 25, 50 , 75, 100) to illustrate the effect of changes in samples volume on parameters estimation , and for the sake of making a comparison between the used methods in estimation depend on the mean square error , and according to this results the maximum likelihood method is found to be the best and efficient way in estimation in which it gave the less mean square error, in addition to the models parameters by using this method was very close from the initial value that have been assumed to theparameters while the Bayesian method comes secondly in estimation Also this thesis included practical application dealing with the phenomena of earthquakes in Kirkuk province of which the time average was estimated by using maximum likelihood method and the Bayesian.
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