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استعمال اساليب السلاسل الزمنية للتنبؤ بالتضخم الشهري في العراق للسنوات 2017 - 2021 == Using Time Series Models To Forecasting The Monthly Inflation In Iraq For (2017 - 2021)

Author name: خوله جعفر احمد
Supervisor name: فارس طاھر حسن الكواز
General topic: Administration and Economics
Specific topic: Applied Statistics
Degree: Higher Diploma
University: University of Baghdad - Faculty Of Administration And Economics - Department Of Statistics
Language: Arabic
University location: Baghdad
First pages:
Abstract: يشكل التضخم عائقا امام تنمية الدولة لما يقع عليه من اضرار اقتصادية واجتماعية لذا تحرص الدول على متابعة سلوكه احصائيا من اجل اخذ الحيطة والحذر والحيلولة دون ارتفاعه عن طريق اتخاذ القرارات السليمة ورسم السياسات الكفوءة.لذا يهدف البحث الى ايجاد افضل انموذ | Inflation forms an obstacle to the country's development because due to its influence on the economic and social damage, so the state is keen to follow up on its conduct statistically in order to take caution and prevent rising through sound decision - making and efficient fee policies.So research aims to forecast the inflation rates Through a series of inflation on the one hand and a series of indices on the other hand, for the period (Jan 2017 - Dec 2021) and reaching any strings best in the prediction by models (Box - Jenkins) and based on the indices data for the period (Jan 2009 - Dec 2015), through the modeling of the data in accordance with the methodology (Box - Jenkins) to build models starting from the diagnosis stage and the ending in the stage to predicting forecasting ,so several types of (ARIMA) models have been proposed, including choosing the most appropriate model specimen , according to the trade - off criteria (RMSE, MAPE , BIC, AIC, Schwarz, Hannan - Quinn), then used the possible greatest function in the estimation of the model specimen parameters, it has conducted tests (Ljung - Box, test my own confidence and Normal distribution of errors test) to determine the appropriateness of the model diagnosed, and then made a future forecasts according to the model, specimen It is better to get of the results based on the ready softwares (SPSS - 22) and the program (Gretl - 1.1) and the results that have been reached were, series of inflation rates stable in mean ,seires indices of consumer prices is'nt stable, where it has a general trend stabilized after taking the first difference and depending on the test (Augmented Dickey Fuller), and was reached that the best model for forecasting inflation of inflation series is a specimen ARIMA (0,0,2) (1,0,1)12 and using the indices series is a model ARIMA (0,1, 2) (1,0,0) 12 and if we make a comparison between the two models forecasting predictions concluded that the forecasting prediction by using a series of inflation gives better results than using the indices to predict a series where the average to smooth the predicted average inflation closer to the original series and therefore, the predictive values of rates inflation closer to the values of the original series viewing And that curve prediction of a series of inflation rates better than the curve predictions using the indces as he gave finer predictions and longer periods of time.

تقلبات سعر صرف الدينار العراقي للمدة من عام 1996 لغاية منتصف عام 2005 والتنبؤ بسعره في المستقبل باستخدام سلاسل ماركوف == Fluctuating of The Iraqi Dinerexchange Rate Since 1996 Until Mid 2005 And Forecasting It In The Future By Using Markov Chains

Author name: خليل برهان الدين فرمان السعدي
Supervisor name: صباح منفي رضا الشمري
General topic: Administration and Economics
Specific topic: Statistics
Degree: Master
University: University of Baghdad - Faculty Of Administration And Economics - Department Of Statistics
Language: Arabic
University location: Baghdad
First pages:
Abstract: ان هذا البحث هو دراسة احصائية اقتصادية في مجال سعرالصرف بدراسته من عام 1996 لغاية منتصف عام 2005، ويتلخص بهذه العبارة (( الحاضر جني الماضي والمستقبل غرس الحاضر)) وهو محاولة متواضعة لبلورة هذا السعرفي اسلوب علمي احصائي، وكانت سلاسل ماركوف خير معبرعن ذلك | This research is considered as a first statistical and economic study in the field of Exchange rate during the period from 1996 till midd 2005. It could be summarized with this sentence (present is the fruit of the past and the future is the plantation of present). Markov chains was used as a scientific statistical method in forecasting process being one of the easiest models. When the data at present is represented in three conditions (i.e high, low, and stable) and between the past, present and future, it was possible to achieve the ideal method in the analysis by using Maximum Likelihood method and Ordinary Least Square method in estimating transitional probabilities matrix. The probability values have been put for all stages and for both methods in one table. The period was divided to three phases according to the political circumstances in Iraq in addition to general phase. The results of the matrices were clean and independent when multiplied by (n) times as shown in attached annexes and in stationary distribution vector, when the probability values were stable for the three cases in definite number and for each phase. The conclusions achieved in the third phase and the possible study to rise Iraqi Diner value to a certain level has been coincided. Finally , the study submitted some useful recommenda - tions.

مقارنة اساليب بيز مع طرائق اخرى لتقدير منحنى الانحدار اللامعلمي == A Comparison of Bayesian Approaches With Other Methods For Estimating Nonparametric Regression Curve

Author name: خلود يوسف خمو يوسف
Supervisor name: ظافر حسين رشيد النجار
General topic: Administration and Economics
Specific topic: Statistics
Degree: Doctorate
University: University of Baghdad - Faculty Of Administration And Economics - Department Of Statistics
Language: Arabic
University location: Baghdad
First pages:
Abstract: لقد شهدت طرائق الانحدار اللامعلمي اهتماما ملحوظا في السنوات الاخيرة كان السبب في ذلك هو ان التفكير المعلمي الصرف المستخدم في تقدير منحنى الانحدار لا يتوافق مع المرونة في تحليل البيانات.ومع التطور المنجز في اجهزة الحواسيب من الناحية المادية وكذلك انجاز | In recent years, too many considerations have been given for the Nonparametric Regression methods. This is for the reason that the concept of pure parametric; used for the estimation of Regression curve, does not cope well with the flexibility needed for data analysis.With the progress made in computer machines, in terms of economy and running performance, it has become possible to develop many of Nonparametric Regression methods theoretically. Though many of these are still under perfection, and facing a number of problems.Hence we see the importance of focusing on methods related to smoothing of Nonparametric Regression functions. This is for the purpose of producing the best methods convenient for various models. And for the Distribution Random error, in its two cases; Normal and Contaminated. Thus, the most important purpose of the research, is to find what the studies so far, have offered in the field of Nonparametric Regression. Also to find alternative or modified methods; which are reliable for the treatment of conditions of failure regarding the methods in use, as well as to alleviate the complexity of some methods, especially those related to Bayesian procedures.One of the most outstanding aims of the research focuses on the study of Nonparametric Regression using Bayesian variable selection. This suggests a modified technique to be reliable and of less complexity than the original one.Amongst the other research intentions, when data are contaminated with outliers, is to explore the Robust Nonparametric Regression, using Bayesian variable selection method. Also to suggest a modified Bayesian method; resistant to outliers, and of less complexity than before transformation. As well as offering suggested methods for Robust Nonparametric Regression. This is of the feature of having less sensitivity towards outliers and reliable in comparison to very few techniques supplied with robustness, as the Bayesian approach.A simulation model has been performed with different distributions, for the random error and for a number of models.To verify the performance of such methods, many criteria have been carried out.To satisfy the purpose of this research, the study has been divided into five chapters. Chapter I consists of an introduction, the problem under research, its importance and purposes. It also covers a literature survey. Chapter II covers methods for smoothing Nonparametric Regression. While chapter III is devoted for Nonparametric Regression and Robust Nonparametric Regression using Bayesian variable selection method. Also in this chapter are details of the suggested methods. Then chapter IV implements the experimental part of the study. Finally chapter V comprises the conclusions and suggestions that the research has recommended. As well as the future studies, which have been proposed regarding this research.

مقارنة طرائق تقدير دالة المعولية للتوزيع الاسي الخليط مع تطبيق عملي == Comprastion Between Methots Estimator Reliability Function of Of A Mixture Exponential Distribution With A Practical Application

Author name: خضر نصيف جاسم البياتي
Supervisor name: عبد المجيد حمزة الناصر
General topic: Administration and Economics
Specific topic: Statistics
Degree: Doctorate
University: University of Baghdad - Faculty Of Administration And Economics - Department Of Statistics
Language: Arabic
University location: Baghdad
First pages:
Abstract: ان الاهتمام المتزايد في دراسة نماذج الفشل جاء نتيجة للدور الذي تضطلع به نظريه المعوليه ودالة الاخفاق بالتعامل مع الاعمار لدراسة ومعرفه سلوك اوقات الفشل في الزمن اللاحق, وتعتبر المعولية احد المقاييس للتعبيرعن اداء اي مفرد او نظام لفترة قادمة لذلك تعد المعو | Reliability theory and Hazard function have played a great role in the rapid interest in the study of failure models. These theories deal with the study of ages to investigate and study the behavior failure time at posterior time. Reliability theory is one of those standards that show the performances of any unite for an expected period of time. It is also considered an indicator for future planning.Accordingly, reliability theory is adopted to study and analyze behavior of failures and the factors behind such failures. To achieve this, the parameter estimators of failure models, with good prosperities and efficiency, are required to count the reliability estimation. Therefore, it is of keen significance to study the methods and techniques for getting the parameter estimators of failure including the parameter estimations of a mixture failure model. These estimations have a great role in reproducing complex cases of non - homogeneous populations. Like the importance of the normal distribution for biological studies, the exponential model is considered of a great significance for the study of failure models.The study aims to estimate the reliability function by employing various methods to estimate the model parameter exponential mixture. To achieve this objective, this study is divided into four chapters. Chapter I shows the introduction and the literature review. Chapter II defines some key concepts of the topic; it also presents the theoretical framework for the employed methods of estimation for a number of parameter estimator method’s complete sample of a mixture of two exponential distributions with different two parameter and percentage p. them of normal school such as Maximum likelihood method estimator and symbolizes her short (ML) and the method of moments and symbolized short (MO) and the least squares method and symbolizes her short(LS) and the least squares weighted and symbolized short (WL) and propose application Bayesian Method using (Lindley' s approximation) of this mixture distribution as not used in Iraq (by informed researcher) and study the behavior of a function failure rate for this distribution using expression w(t) which is also taught for the first time in Iraq, according to the informed researcher. Chapter III is divided into two sections. The first section includes the application of imitation style for generating data and performing a sample application based on the theoretical background. The second section reports about a field work on one of the public institutions for electrical industry. Chapter IV shows the results and conclusion of this study. It also suggests some recommendations for future research.

استخدام البرمجة الديناميكية لحل مشكلة جدولة انتاج متعدد لماكنة منفردة لكلفة خزين متغيرة == Using Dynamic Programming To Solve The Multi - Item Single Machine Scheduling Production Problem For Variable Inventory Cost

Author name: حيدر عدنان امير
Supervisor name: لميعة باقر جواد الجواد
General topic: Administration and Economics
Specific topic: Operations Research
Degree: Master
University: University of Baghdad - Faculty Of Administration And Economics - Department Of Statistics
Language: Arabic
University location: Baghdad
First pages:
Abstract: الغرض من هذا البحث هو تطبيق اسلوب البرمجة الديناميكية Dynamic Programming لتخطيط الانتاج لمنتج واحد او اكثر بواسطة ماكنة واحدة ولعدة انواع من دوال الكلفة الخطية والمقعرة والمحدبة. سوف نهتم بتخطيط الانتاج لفترة زمنية مستقبلية تسمى ( فترة التخطيط ) Planning | The purpose from this research is to apply one of operations researches manners and its Dynamic Programming manner, to planning for one manufacturer or more and for many types from linear cost functions, convex and concave which are manufacture by lonely machine.We will pay attention in manufacturing planning for future chronological period named Planning Horizon for a machine is manufacturing many manufacturers with a machine changeover cost, where in this period the ordering average is change on the manufacturer, we’ll suppose too that the chronological space is divided to periods , the planning problem is happening by determining manufacturing average for every period in Planning Horizon , for knowing the ordering on every period is known but it’s not constant from each period to other which give it the Dynamic Form.In the research aim about how we planning for manufacturing period, so it will be study different models for cost function in one manufacturer case or more and apply an algorithm for each case and after that programming some of these algorithms to determining the best Planning Horizons where at them wholly cost function is might less.This subject consider as one of the important subjects in manufacturing operation fields, industrial operations, geometric operations and etc …For the important of leather industries, this subject apply on the factories of the Common Company of Leather Industries and that is happen by planning for outputting and stock to find less possible cost and the choice happen for four factories from the company and it’s : 1. Baghdad shoes factory ( Bata previously )2. kufa factory ( sporty shoes )3. Bags factory 4. Leather clothes factory And this by forming models to Dynamic Programming and it’s : 1. forward algorithm without disability 2. forward algorithm with disability 3. backward algorithm allow disabilityIt’s developing by the researcher to apply it in the multiple outputting and solve them and taking the results through a computer program written by the researcher for every model in Visual Basic Language.

استعمال بعض تصاميم التجارب العاملية والعاملية المتداخلة بالقياسات المكررة على مرض الثلاسيميا في محافظة واسط == Use Some Factorial Design of Experiments And Nested - Factorial By Repeated Measurements On Thalassemia In Wasit Governorate

Author name: حيدر رائد طالب
Supervisor name: قيـس سبع خماس
General topic: Administration and Economics
Specific topic: Statistics
Degree: Master
University: University of Baghdad - Faculty Of Administration And Economics - Department Of Statistics
Language: Arabic
University location: Baghdad
First pages:
Abstract: انصب هدف الرسالة في امرين على درجة من الاهمية وهما اولا دراسة تحليلية لطبيعة التجارب بالقياسات المكررة لعدة تصاميم والتركيز على التجارب العاملية والعاملية المتداخلة وبناء النماذج الرياضية الخطية لهذه التجارب الذي يعتمد علية التحليل. لقد تم استعمال الط | Focused message in a two objective on the degree of importance and them first analytical Study to the nature of repeated measurements experiments for several designs and focus on the Nested - Factor Experiments and build linear mathematical models for these experiments upon which the analysis. It has been used several methods parametric to analysis these types of designs. which are difficult to analyze in sometimes because of the not provide conditions analysis of variance for repeated measurements experiments. The second objective of the message is application this kind of experience in the medical sector by studying a particular phenomenon characterized by a repeated measurements represented Thalassemia in Wasit province. Where he was studying three types of experiments the existence of a repeated measurements It is experiments with a one factor and have a repeated measurements on the same element, Factorial Experiment qxp repeated measurements on one factor, and Nested - Factorial experiment repeated measurements on one factor. As well as the use of methods of transfer to ranks (Rank Transformation) as one of the solutions that have made conditions analysis of variance to experiments measurements repeated of (distribution Normal random and independent for experimental error, homogeneity of variances, the lack of correlation between the averages and variances, spherical). Satisfactory because the transfer to ranks makes the data on the most homogeneous and normal, although we have identified a condition analysis of variance exclusively for the purpose of comparison by the value of the P - Value. The data can be described about Thalassemia in Wasit as follows : were assessed Standards quantities of iron (Fe) in the letter, groups this data classified into two groups, the first group included 20 patients (10 males, 10 females) and who have been subjected to the first chemotherapy (axja) by mouth for four treatment cycles (treatments) of each period lasts 30 days , and the second group included 20 patients (10 males, 10 females) who were exposed to second chemotherapy (Desferal) by injection into the skin or muscle of four treatment cycles (treatments), where each treatment cycle lasts 30 days. the most important conclusions that have been reached is that the Data Transformation by ranks led to the provision of analysis of variance conditions for experiments repeated measurements distribution the normal errors and homogeneity of variances and correlation between mean and variance, as well as a spherical condition. Through the four applications we believe that giving the first dose of the drug to patients has led to high amounts of iron to patients over time and this type of treatment is used when high amounts of iron ratio. As well as when you give the second dose of the drug to patients has led to high amounts of iron to patients over time, but at rates lower than the first treatment and this type of treatment is used when a weak proportion of iron in the blood of the patient.

مقارنة بين طرائق تقدير انحدار الحرف العامة في معالجة مشكلة التعدد الخطي شبه التام مع تطبيق عملي == A Comparisons Among The Generalized Ridge Regression Methods of Estimators Under Multicollinearity Problem With A Praxis

Author name: حنين مراد يوسف الصالحي
Supervisor name: سجى محمد حسين الهاشمي
General topic: Administration and Economics
Specific topic: Statistics
Degree: Master
University: University of Baghdad - Faculty Of Administration And Economics - Department Of Statistics
Language: Arabic
University location: Baghdad
First pages:
Abstract: يلقى موضوع خرق احد فروض الانحدار اهتماما واسعا وواضحا في معظم الدراسات لذلك تنبع اهمية هذا البحث من خلال الكشف عن احد هذه الفروض ومعالجتها والمتمثلة بـ وجود علاقة خطية بين اثنين او اكثر من المتغيرات التوضيحية والتي تدعى بمشكلة التعدد الخطي (Multicollinea | The violation of regression assumptions is one of the interesting topics in many fields. This thesis deals with multicollinearity problem by using some of generalized ridge regression methods (GRR, MJR, GJR, GL, AUGRR, and AUGL) as well as our proposed method (Almost unbiased Generalized Jackknife Ridge) (AUGJR). In addition, these methods are compared with parameter (k) in ridge and parameter (Liu D). These methods are evaluated based on the mean squared error (MSE) to obtain the best method of these methods with the suitable parameter.To evaluate these methods, we use simulation studies by using the R statistical program. Five variables are simulated with different sample sizes (n=15,20,60,300), different variances (0.16,0.13,0.18) and different correlation coefficients (r=0.16,0.13 and 0.18) with (s=10 and 2). The results show that AUGL, AUGJR and AUGRR are the best methods in terms of the MSE. The differences are very small among them. The methods are also evaluated based on real data example (Rail transport for the passengers and cargo), which is obtained from Iraqi Ministry of Planning.We first detected the problem of multicollinearity by using the Variance Inflation Factor (VIF) and Condition Index (CI). Then, we build a model of revenue for transportation after they have been estimating its features at the best methods.

افضل طرائق المعاينة في تقدير اعداد النخيل في محافظة البصرة == Optimum Sampling To Estimate Date Palm In Basrah Governorate

Author name: حنان سعيد مالك الراوي
Supervisor name: رفعت لازم مشعل الخميسي | عدنان شهاب حمد
General topic: Administration and Economics
Specific topic: Statistics
Degree: Master
University: University of Baghdad - Faculty Of Administration And Economics - Department Of Statistics
Language: Arabic
University location: Baghdad
First pages:
Abstract: مما لاشك فيه ان لكل اسلوب من اساليب المعاينة مزايا ومبررات في استخدامه، وغالبا ماترتبط عملية اختيار اسلوب المعاينة بجانبين اساسيين، اولهما معيار التجانس بين المفردات سواء على المستوى الكلي ام على مستوى اجزاء(او مجاميع) من المجتمع، وثانيهما الامكانات المتا | There is no doubt that each technique of sampling techniques has advantages and reason for using it, and mostly the correlation of choosing sampling technique with a essential two sides, first of them is the standard of homogenous between units as for all population, and the second one is the abilities that are available to fulfills survey. And in using Stratified Random Sampling Technique in evaluating the suitable population to apply an important role to get a high efficiency estimator to compare with other Sampling design. As the target of this searching is to get the best ways that increase the accurate estimation of the Date Palms number in Basrah governorate and in using different kind of sampling estimator, the comparison has been done between the mean variance of Simple Random Sampling and the mean variance of the Stratified Random Sampling, and it is clear in the comparative results hat using Stratified Random Sampling give the best estimation. The determination of strata boundaries (strata formation) have interested role in obtaining efficient estimators, several strategies of strata formation were constructed, it is proved that the approximated frequency strategy at ?= ½ is the most efficient, researchers discussed developing this strategy through using different values of (?), or different sample allocations. In this searching three approximately frequency had been applied , and to divide the population into strata and point out the optimum limit strata, and the sample allocation has been determined by using Neyman distribution. And it is clear in the result that using the approximated frequency is the nearest and efficient to estimate the Date Palms number in Basrah governorate, by counting the Stratification mean variance and the stratification mean for the three approximated frequency. And the reason to know wither the Stratified Random Sampling is efficient and better than the Simple Random Sampling in evaluating the Date Palms number the experiment of the hypothesis between two population has been used, the results of that experiment show the difference between the two means that lead to reject the Null hypothesis and to accept the Alternative hypothesis, according to this the search recommended to use the Stratified Random Sampling according to the new divided stratification by using frequency, taking into consideration using Neyman distribution o determine sample size and sample allocation

قياس الفقر متعدد الابعاد في العراق باستعمال مؤشرات اكسفورد OPHI == Measuring Multidimensional Poverty Using Oxford Indicators (OPHI)

Author name: حمدي محسن عليوي
Supervisor name: نبيلة عبد الهادي الشريف
General topic: Administration and Economics
Specific topic: Applied Statistics
Degree: Higher Diploma
University: University of Baghdad - Faculty Of Administration And Economics - Department Of Statistics
Language: Arabic
University location: Baghdad
First pages:
Abstract: 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.

تقدير الدالة اللامعلمية للبيانات العنقودية == Nonparametric Regression Function Estimation of Clustered Data

Author name: حلا كاظم عبيد
Supervisor name: سجى محمد حسين الهاشمي
General topic: Administration and Economics
Specific topic: Statistics
Degree: Doctorate
University: University of Baghdad - Faculty Of Administration And Economics - Department Of Statistics
Language: Arabic
University location: Baghdad
First pages:
Abstract: 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).

التحليل الاحصائي لتجارب القياسات المكررة للبيانات المصنفة == The Statistical Analysis For Experimental The Categorical Data of Repeated Measurement

Author name: حلا كاظم عبيد الصبيحاوي
Supervisor name: سجى محمد حسين الهاشمي
General topic: Administration and Economics
Specific topic: Statistics
Degree: Master
University: University of Baghdad - Faculty Of Administration And Economics - Department Of Statistics
Language: Arabic
University location: Baghdad
First pages:
Abstract: حيث تم استعمال اختبار (Cochran, Mc Nemar, Ireland & Kullback, Stuart, Bhapkar, Ireland & Ku & Kullback) على بيانات ذات معالجتين وكل معالجة بمستويين المتمثلة ببيانات مرض ضغط الدم ولدوائين وكل دواء بمستويين (ملائم وغير ملائم) ومن خلال الجانب التطبيقي تم الو | In this dissertation the study have concentrated on the use of repeated measurements tests of catcorigal data, where we used (Cochran, Mc Nemar, Ireland & Kullback, Stuart, Bhapkar, Ireland & Ku & Kullback) tests on two treatments data, and every treatments with two levels which represent raised blood pressure data, and for two medications, each medication with two levels (appropriate and inappropriate), through the practical aspect, we concluded that the ratio of response for the two medication are the same. Also we used (Ireland & Ku & Kullback, Bhapkar, Stuart) tests on data with two treatments, each treatment has more than two levels that represent data of fifth grade (High school) for Arabic text book through years (2001 - 2004) in sumer high school, in which the first treatment represents the students grades in mid term exam, and the second treatment represented the student grades in final exam, through the practical aspect we gained an equivalent results in the previously mentioned methods (in which the students levels in mid term exam equivalent to that in final exam). We also used (Ireland & Kullback, Cochran) tests and weighted least squares (WLS) tests on three treatments data in which every treatment has two levels that represents data of student in the same grade, and in the same years for English text book in which the first treatment represents the first term average, and the second treatment represents the student's grade in mid year, and the third treatment represents the average of second term. And for two levels (Pass and failed), through the applicative of these test on these data we concluded that the level of any given student in first term is equal to the level in mid year and it's also equal to that in second term.

مقارنة طرائق تقدير دالة البقاء لتوزيع لوماكس باستخدام عينات مراقبة من النوع الثاني

Author name: حلا سلمان فرحان
Supervisor name: صباح هادي عبود الجاسم
General topic: Administration and Economics
Specific topic: Statistics
Degree: Master
University: University of Baghdad - Faculty Of Administration And Economics - Department Of Statistics
Language: Arabic
University location: Baghdad
First pages:
Abstract: في هذه الرسالة تم تقدير دالة البقاء لتوزيع لوماكس اخذين بنظر الاعتبار وجود عينات مراقبة((Censored Data من النوع الثاني في حالة توافر معلومات اولية عن المعلمات بشكل دالة احتمالية اولية مشتركة لكل من معلمتي الشكل والقياس,حيث تم افتراضها حسب اسلوب الباحث(Jef | In this study have been estimated the survival function to Lomax distribution considering there was censored data (second Type) just in case if a primitive information were available about the indications as mutual primitive probability function for both : indications form & measure which assumed in order to method of the searcher (Jeffry) and also squared error loss function). So measured estimated pez S*(t) for survival function S (t) is the conditional expectation function S*(t) =E[S (t)/X].It has been used approximated methods to measure them because It is hard : to measure the complementary of numerator and denominator in a mathematics form by using Bayes method. One of these methods is the method of the searcher ( Lindley) while the other method was return to ( Tierrney and Kadon).In addition to methods formerly to estimate the survival function; the searcher has used the Shrinkage method. While she used the maximum likelihood method as a usual method for those which did not depend on the primitive information because the estimated thing had fixed quality.So, all this to make the comparison between these methods and the oldest one through simulation style by Mont - Carlo to get new estimation which carried the wanted qualities in the perfect estimated to get specific results : to choose the suitable estimation method.The searcher hade made the bayes (lomax distribution survival function) as the lindley manner was the best among the other manners to estimate lomax distribution survival function ,on general ;while the manner of the maximum likelihood method was the best manner among to other estimated manners for tiny simple size on private.

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

Author name: حسين عيسى مسلم القريشي
Supervisor name: اسماء نجم عبد الله
General topic: Administration and Economics
Specific topic: Applied Statistics
Degree: Higher Diploma
University: University of Baghdad - Faculty Of Administration And Economics - Department Of Statistics
Language: Arabic
University location: Baghdad
First pages:
Abstract: 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

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

Author name: حسنين حامد احمد الطائي
Supervisor name: مروان عبد الحميد عاشور
General topic: Administration and Economics
Specific topic: Operations Research
Degree: Master
University: University of Baghdad - Faculty Of Administration And Economics - Department Of Statistics
Language: Arabic
University location: Baghdad
First pages:
Abstract: 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.

استعمال خوارزمية البحث المتناغم المركبة لحل مسالة التخصيص التربيعية مع تطبيق عملي == Using Combinatorial Harmony Search Algorithm For Solving Quadratic Assignment Problems With Practical Application

Author name: حسن عبد الستار ابراهيم
Supervisor name: عبد المنعم كاظم حمادي الشكري
General topic: Administration and Economics
Specific topic: Operations Research
Degree: Master
University: University of Baghdad - Faculty Of Administration And Economics - Department Of Statistics
Language: Arabic
University location: Baghdad
First pages:
Abstract: يتضمن هذا البحث ثلاث مراحل اساسية المرحلة الاولى تضمنت دراسة موسعة لمسالة التخصيص التربيعية (Quadratic Assignment Problem) من حيث الصيغ وطرق الحل والحدود الدنيا لدالة الهدف وبعض التطبيقات المهمة للمسالة والمرحلة الثانية تتضمن بناء خوارزمية لحل المسالة , ا | This research includes three Basic phases the first phase included an extensive study of the Quadratic Assignment Problem (QAP) in the formulas and methods of solution and Lower Bound of objective function and some important applications of the Problem and the second phase includes construction of algorithm for solving the Problem, used Harmony Search algorithm in this research but added the improvement Procedures to increase the Performance of algorithm and speed up access to the optimal solution of the problem, The algorithm consists of two phases, the first phase will improve all the existing solutions in the Harmony Memory use some improvement measures is the property of Crossover used in genetic algorithm and also guided search to reduce the objective function, the second phase will depend on the Procedures of the Harmony search algorithm (HS) but using a new Improvise, The algorithm has proven its efficiency in solving the problem is resolved (15) standard problem from the special library of Quadratic Assignment Problem (QAPLIB), and compare the results with the local search algorithm (LS), Tabu search (TS), Simulated annealing (SA) after solving each problem (25) times and record the results of the algorithm shown open her with total access to the optimal solution (282) of the total (375) repetition of the test as the total reached the local search algorithm (2) Simulated annealing algorithm (117) and Tabu search algorithm is (174). The third phase of the research included the use of the (QAP) in the process of designing websites towers networks of the Ministry of Oil to connect the gas stations in Baghdad province to determine the main towers of the project where the use of the Combinational Harmony search algorithm in resolving the Problem after resolving the problem was determine the location of towers , sites first tower area (Yarmouk) as the second tower (Sadr City) and the third tower in the area (Karada) and fourth in the Tower (Adhamiya) and then use the Generalized Assignment model in distribution subsidiary turrets to The main tower and the new design of the towers the effectiveness of Quadratic Assignment problem in organizing sites.

مقارنة فترة الثقة مع الفترة البيزية للتركيبة الخطية لمتوسطات عامل التداخل مع تـطبيق عملي == A Comparison of Confidence Interval With Bayesian Interval For The Linear Compination of Nest Factor Means (With Application)

Author name: حسام موفق صبري الدليمي
Supervisor name: اموري هادي كاظم الحسناوي
General topic: Administration and Economics
Specific topic: Statistics
Degree: Master
University: University of Baghdad - Faculty Of Administration And Economics - Department Of Statistics
Language: Arabic
University location: Baghdad
First pages:
Abstract: تعد دراسات المقارنة بين طرق تقدير المعلمات من الدراسات المهمة التي تاخذ حيزا واسعا في البحوث الاحصائية، لذلك تهدف هذه الدراسة الى اجراء مقارنة من خلال الفترات بين فترة الثقة والفترة البيزية للتركيبة الخطية لمتوسطات عامل التداخل في تصميم متداخل متزن لمرح | A Comparison studies among parameters estimation approaches are important studies that take a large space in statistical searches. So that the purpose of this study is to make a comparison through the intervals between the confidence interval and the Bayesian interval for linear combination of nest factor means in a two stage balanced nested design.The confidence interval was found by using an advance approach in inference called (Mixed Inference), and the Bayesian interval was found by using another approach in inference called (Bayesian Inference), then a comparison was happened between the two intervals (obviously the two kinds of inference).We apply this comparison on a real data experiment represent weights of vetch planet in (1998), and by using simulation. The results of the real data experiment and simulation shows an important conclusion which said that the confidence interval for linear combination of nest factor means is better than the Bayesian interval of the same linear combination for any suggestion confidence coefficient.Finally, An assumption study established to know the causes that leads to that important conclusion

تحليل التباين متعدد المتغيرات لتصميم القطع المنشقة - المنشقة == Multivariate Analysis of Varaince For Split - Split Plot Design

Author name: حسام عبد الرزاق رشيد البكري
Supervisor name: ظافر حسين رشيد النجار
General topic: Administration and Economics
Specific topic: Statistics
Degree: Master
University: University of Baghdad - Faculty Of Administration And Economics - Department Of Statistics
Language: Arabic
University location: Baghdad
First pages:
Abstract: This research work is a study of multivariate analysis of variance model (MANOVA) for the design of split - split plot to a complete randomized block. As it is an important method for determining whether the response variables are influenced with each other or in other words whether the correlation between the variables of a force such that it influence the decision taken concerning the applied hypothesis. When we don’t ignore the relationships which are created between the responses variables lead us to generalize the tests in the univariate analyses about the means of normal population to be changed to tests involving mean vectors responses taken from multivariate normal population. Ignoring the existing relationships between variables lead us to untrue conclusions, so in doing the (MANOVA) gives us a full picture of the experimental factors and their interaction in the experiment as a whole. The concentration on doing the (MANOVA) should not be at the expense of the study of the univariate analysis. So the research work involves the problem of heterogeneous in sub - sub plot variances, which is considered one of the important problems put forward by other researchers which may limit his work in special procedure. We are interested in solving this problem by using a univariate analysis procedure after splitting the error of sub - sub plot and then finding the standard deviation used in comparison testing between about the third factor (c). Then comparing them with the standard deviation used, if we assume the existence of homogeneity in variances of sub - sub plot.

استخدام اسلوب بيز التجريبي في تقدير معلمات انموذج الانحدار الخطي == Using Empirical Bayes Approach For Estimating Parameters In A Linear Regression Model

Author name: حازم منصور كوركيس عربو
Supervisor name: اموري هادي كاظم الحسناوي
General topic: Administration and Economics
Specific topic: Statistics
Degree: Doctorate
University: University of Baghdad - Faculty Of Administration And Economics - Department Of Statistics
Language: Arabic
University location: Baghdad
First pages:
Abstract: The primary purpose of our thesis is to assess the importance of using empirical Bayes approach in regression analysis. At the first some empirical Bayes techniques in point estimation are considered. It is well known that in point estimation with a squared error loss function the Bayes estimator is the posterior mean. In the empirical Bayes approach we must construct a consistent sequence of estimators for this posterior mean using past experience. This construction is done for three general families of distributions. New estimators for the parameters in the simple orthogonal linear regression model are presented using not only the usual random sample of observations but also past experience in the form of previous estimators of parameters in similar but independent situations. The regression parameters are considered to be random variables. Bayes estimators are given for a squared error loss function. Even though the prior density of the parameter is unknown the Bayes estimator can be written in terms of the marginal density of sufficient statistic. This marginal density can be estimated empirically , thus forming the empirical Bayes estimator. Empirical Bayes estimators for the parameters in the general linear regression model are presented. These estimators by pass exact knowledge of the prior distribution of parameters by means of supplementary informations from similar independent experiments. The case in which the error variance is unknown and may vary from one experiment to the next is included. Some basic concepts in shrinkage estimators are introduced. The definition of multicolinearity as the existence of near linear relationships among the independent variables is given. Effects of multicolinearity on estimated regression coefficients are explained. Sources of multicolinearity and methods of detecting multicolinerity are presented. The method of ridge regression is given as one of several methods that have been proposed to remedy multicolinearity problems by modifying the method of least squares to allow biased estimators of the regression coefficients. The technique of ridge regression first proposed by Hoerl and Kennard has become a popular tool for data analysts faced with a high degree of multicolinearity in their data. Ridge solution properties and methods for choosing the ridge parameter are presented. The first method is graphical applied by using graphical display called 'ridge trace' the second method is the iterative method proposed by Hoerl and Kennard. The equivalence of ridge regression estimator with Bayers estimator is proved. Bayesian methods are employed for choosing the ridge parameter. An empirical Bayes estimator of the ridge parameter is presented. An empirical Bayes estimator of the ridge parameter which result in minimax ridge regression estimator under strawderman's loss function (formula 2.81) is also presented. By minimax estimator we mean an estimator which is uniformly better than the least square estimator in terms of risk. In the practical part of the thesis we apply ridge regression analysis to the set of actual data suffer from multicolinearity. Three methods are employed to determine the value of the ridge parameter. Comparisons between the three methods are made on the basis of various statistics that might go into the choice of the ridge parameter. According to these comparisons we conclude that the value of the ridge parameter obtained by using empirical Bayes approach (formula 2.78) is better than the other two methods. Ridge analysis is repeated for another set of experimental data obtained by constraint simulation. The same conclusion is obtained when the dependent variable is any one of the variables Y2 ,..... Y6.

مقارنة بعض طرائق التقدير اللا معلمية لنموذج الانحدار التجميعي المجزا باستعمال المحاكاة مع التطبيق == A Comparison of Some Nonparametric Estimation Methods of An Additive Quantile Regression Model Using Simulation With Application

Author name: جنان عبد الله عنبر
Supervisor name: دجلة ابراهيم مهدي العزاوي
General topic: Administration and Economics
Specific topic: Statistics
Degree: Master
University: University of Baghdad - Faculty Of Administration And Economics - Department Of Statistics
Language: Arabic
University location: Baghdad
First pages:
Abstract: ان استعمال النماذج المعلمية يتطلب توافر معلومات كافية عن الظاهرة المدروسة مع معرفة المجتمع الذي سحبت منه العينة وان تكون معلماته معرفة لكي تكون قراءة هذه النماذج قراءة صحيحة كما تتطلب وجود بيانات من النوع الكمي الامر الذي دفع الباحثين الى البحث عن نماذج ا | Using of the parametric models requires a number of preliminary conditions that should be available to make the reading of these models right as well as the presence of quantitative data which motivated the researchers to search for models with lesser terms than the parametric models represented by nonparametric models, so too many considerations have been made for the Nonparametric Regression, in the last years. The main reason of that was the researchers’ belief that pure parametric methods for estimating the regression curve have shortage with the flexibility needed for data analysis - especially the quantitative data - . With the progress made in computers, in both hardware and software, it has become possible to develop many of Nonparametric Regression Methods including the "Quantile Methods". In spite of that, the researcher see the most of papers and articles concern univariate case, where the researchers about bivariate case still with limited. In the other hand, the researches extension to multivariate case nonexistent in Iraq - in the scope of researcher’s knowledge - , which gives an extremely importance for the aim of this study, to bring attention for alternative methods or modified methods that can be efficient ones to improve the currently methods. Thus, the most important purpose of the research, is the use of Tow - Stages method, which helps the researchers to compute Nonparametric estimators for the components of Nonparametric models to avoid the curse of dimensionality.It divideds the components to set of points called "Quantiles" , then estimates the quantile function by one of the quantile methods we explained in this research, ( Marginal Integration, Backfitting, and Tow - Stages ). The simulation has been designed for the illustrated models and it has been checked about the estimation methods performance by using the Absolute Deviation Error (ADE) criterion, then compute the Average Absolute Deviation Error (AADE). From noticing the simulation results, it was shown that the best estimator was Tow - stages estimator in case of high correlation and / or high dimensions. To achieve the purpose of this research, the study has been divided into five chapters. Chapter one, consists of an introduction, the aim of the thesis under research, and a literature survey. Chapter two covers the parametric regression quantile estimation. While Chapter three devoted for Nonparametric estimations methods. Chapter four devoted for Simulation experiments and practical experiment with real data. Finally, Chapter five comprises the conclusions and suggestions that the research has recommended.

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

Author name: جنان عبد الله عنبر
Supervisor name: نزار مصطفى جواد الصراف
General topic: Administration and Economics
Specific topic: Statistics
Degree: Doctorate
University: University of Baghdad - Faculty Of Administration And Economics - Department Of Statistics
Language: Arabic
University location: Baghdad
First pages:
Abstract: 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).

استعمال بعض النماذج الاحتمالية المنفردة والمركبة المبتورة لتحديد خصائص التعويضات الصحية في شركة التامين العراقية == Use Some Probability Single & Compound Truncated Models To Determining The Characteristics of Health Payments In The Iraqi Insurance Company

Author name: ثائرة نجم عبد الله الامير
Supervisor name: قيس سبع خماس
General topic: Administration and Economics
Specific topic: Statistics
Degree: Master
University: University of Baghdad - Faculty Of Administration And Economics - Department Of Statistics
Language: Arabic
University location: Baghdad
First pages:
Abstract: نظرا لعدم وجود بحث احصائي سابق لسلوك تعويضات التامين الصحي الذي يمثل النسبة الاكبر من التعويضات في عموم شركات التامين في العراق، تم اختيار هذا البحث وتطبيقه في شركة التامين العراقية.ولغرض تحديد افضل انموذج احتمالي يمثل تعويضات التامين الصحي، تم استعمال | Due to the lack of previous statistical research of the behavior of payments, specifically health insurance, which represents the largest proportion of payments in the general insurance companies in Iraq, this study were selected and applied in the Iraqi insurance company.To determine the best model represent the health insurance payments, we used two probability models determined through the initial detection for the distribution of the research sample by use (Easy Fit) program.One : single, a (Lognormal) for all sample views, and the other compound (Compound Weibull) at dividing research sample into small losses and large losses, and focused on the compound model in some detail in terms of drafting and its importance. With the application of the state of amputation in both the fact that the specific health payments from the top by two million diners in this company.Both models Parameters were estimated using the maximum likelihood method (MLE) and the use of style (Newton - Raphson) to find these estimates. And then compare between models using standard (MSE). Was reached in general that the compound model is better than a single model in the representation of payments.

طرائق تقدير عدد مرات الفشل في الانظمة القابلة للاصلاح

Author name: ثائر فيصل شاهر
Supervisor name: عبد المجيد حمزة الناصر
General topic: Administration and Economics
Specific topic: Statistics
Degree: Doctorate
University: University of Baghdad - Faculty Of Administration And Economics - Department Of Statistics
Language: Arabic
University location: Baghdad
First pages:
Abstract: ان الهدف من هذا البحث تسليط الضوء على احد اهم وابرز المواضيع المعاصرة في دراسات المعولية وهو الانظمة القابلة للاصلاح والذي يعني ان النظام الذي عندما يحدث فيه فشل فيمكن اعادته للعمل باصلاح بعض مركباته دون الحاجة الى ابدالها. والذي يحظى بتطبيقات واسعة وخاص | The main purpose of this research was to study one of the main modern subject which is very important in the reliability studies, it is the repairable system, which means that if the component fails it immediately repaired.These studies have widely applications in many systems like watching machine of cars, airplanes and communication systems, that is failure make huge materiel and humane losses.It is found that these systems submit to Poisson process in particular the nonhomogenous Poisson process, the main contribution in this research is the modification in estimating the number of failures in repairable systems, and the derivation the distribution of n - failures where the distribution is General Gamma.Finally, some new results obtain and a simulation experiments were done to compare the proposed and classical methods.

مقارنة مقدرات بيز الحصين مع مقدرات اخرى لتقدير دالة المعولية التقريبية لتوزيع ويبل == A Comparison of Robust Bayesian Estimators With Another Estimators To Estimate The Approximation of Reliability Function For Weibull Distribution

Author name: تهاني مهدي عباس الياسري
Supervisor name: مهدي محسن اسماعيل العلاق
General topic: Administration and Economics
Specific topic: Statistics
Degree: Doctorate
University: University of Baghdad - Faculty Of Administration And Economics - Department Of Statistics
Language: Arabic
University location: Baghdad
First pages:
Abstract: من الملاحظ ان معظم البحوث والدراسات في مجال الاحصاء ولاسيما في حقل المعولية تهدف الى الحصول على مقدرات ذات مستوى عال من الكفاءة. لاسيما عندما تكون بيانات العينة قيد الدراسة ملوثة. او في حالة عدم التحديد الدقيق للمعلومات المسبقة او في حالة ظهور الحالتين م | It is noticed that most of the researches and studies in the field of statistics particularly in the field of reliability aiming to obtain estimators of very high standard of competency specially when the sample data under study is contaminated, or in the case of not determining accurately the previous information or in case both cases appear together. From here came the objective of the thesis to come to competent estimators of the approximate reliability of Weibull distribution which is considered one of the common failure models. Through studying the ordinary procedures represented in the maximum likelihood method and method of moments and white’s method as well as the ordinary robust methods represented by the method of M - estimate and bayes procedure as well. Therefore bayes procedure was suggested depending on natural conjugate prior function in addition to suggesting three methods according to robust bayes procedure where the first suggested procedure of robust bayes assumed that there is an extent of belief and to a certain percentage with the researcher (the percentage of the researcher falling into mistake in determining the primary information) where the accurate determination of the primary information has already been made which will be integrated with the sample prospects to obtain bayes estimater As to the second suggested procedure of the robust bayes it treated the problem of the sample prospects contamination or the primary information. Whereas the third robust bayes procedure suggestion had treated the problem of appearance of both problems together - that is inaccuracy in determining the primary information and the possibility of contamination to the sample views or the primary views as well, found a comparison between the studied evaluation methods by using the simulation procedure. It has been arrived to the success of the suggested methods in evaluating the approximate reliability of Weibull distribution depending on the two statistical scales (Integral Mean Square Error) (IMSE) and the (Integral Mean Absolute Percentage Error) (IMAPE).

تقدير دالة المعوليـة لتوزيع لوغارتيم الطبيعي مع تطبيق عملي == Estimate of Reliability Function For Lognormal Distribution With Practical Application

Author name: بلسم مصطفى شفيق النائب
Supervisor name: صباح هادي عبود الجاسم | فرحان اسماعيل العاني
General topic: Administration and Economics
Specific topic: Statistics
Degree: Master
University: University of Baghdad - Faculty Of Administration And Economics - Department Of Statistics
Language: Arabic
University location: Baghdad
First pages:
Abstract: لقد كان الاهتمام الواسع والمتزايد في دراسة موضوع المعولية في السنوات الاخيرة يعود الى التطور التكنولوجـي والتقني السريـع واستخدام الانظمـة الالكترونية المعقـدة في مختلف المجالات. وعليه فان دراسة موضوع المعولية والربط بين الجانبين النظري والتطبيقي امر له | The studies of the subject - matter of Reliability with connecting between theoretical and application sides , it is an important matter now a days because the technology development with using electronic systems.In this study it is used the Lognormal Distribution as a failure models when the failure rate to these models initially increases over time and then decreases approaching Zero with increasing time , and find out the estimators of reliability function by different methods.The estimates are : 1. Maximum Likelihood Estimation.2. Uniformly Minimum Variance Unbiased Estimator.3. Bayes Estimation.And then comparing between the priorities of the estimates through using the Monte - Carlo method and conducting several experiments using Mean Square Error.Generally result show that Maximum Likelihood Estimation to estimate Reliability is better than the other methods , Regarding the practical aspect the data of life time for four machines from EIGC and found after using chi - Square test that the life time for test machines distribute Lognormal and the estimation of Reliability function for machines done using Maximum Likelihood Method

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

Author name: بشرى نصيف جاسم
Supervisor name: ابتسام كريم عبد الله
General topic: Administration and Economics
Specific topic: Applied Statistics
Degree: Higher Diploma
University: University of Baghdad - Faculty Of Administration And Economics - Department Of Statistics
Language: Arabic
University location: Baghdad
First pages:
Abstract: 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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