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توقعات الطلب المستقبلي للسياحة الدينية فـي محافظتي النجف الاشرف وكربلاء المقدسة == Expectations of Future Demand For Religious Tourism In The Provinces of Najaf And Karbla

Author name: علي حمد الله احمد

Supervisor name: محمد جاسم محمد

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:

استعمال طريقتي انحدار الحرف والمركبات الرئيسية في تقدير معلمات انموذج اللوجستك في حالة وجود مشكلة التعدد الخطي مع تطبيق عملي == Use The Methods of Ridge Regression And Principle Components To Estimate The Parameters of Logistic Model Under Multicollinearity With Practical Application

Author name: علي حسين فلوح

Supervisor name: سهيل نجم عبود

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 اكثر الدراسات في انموذج انحدار اللوجستيك تاخذ طابعا اكثر تقدما في عملية التحليل الاحصائي الدقيق الذي يمكن من خلاله الحصول على مقدرات عالية الكفاءة.ان مشكلة التعدد الخطي يمكن ان تظهر في انموذج درجة الميل (Propensity Score Model) عند تقدير متوسط تاثير | More studies on the topic of logistics regression model takes a more advanced in the process of careful statistical analysis which aims to get estimators with a high level of efficiency.The problem of Multicollinearity can appear in the model of propensity scores (PS) when estimating the average treatment effects (ATEs). In this thesis, using the methods of logistic ridge regression, logistic principle components regression an alternative to the maximum likelihood estimates in the propensity scores model. The average treatment effects (ATEs) estimators adopted the method of inverse probability weighted (IPW). logistic ridge regression (LRR), principle components logistical regression (PCLR), and maximum likelihood (ML) used to estimate the propensity scores (PS), The logistics regression model and the variable (W_i) and the Bernoulli distribution in depended variables then probability (?_i) and then estimate the average treatment effects (ATEs), where the use of simulations (Monte Carlo) to generate tracking data model of logistic regression and Multicollinearity problem depending on various factors, from simple correlation coefficient values and sample size and the number of independent variables and the constant value plus the adoption of different designs of propensity score in simulation study, this is due to the fact that estimates the average treatment effects (ATEs) her strengths and different accounts. And we use Bias and the mean squares error (MSE) as criteria for comparing methods of estimation.The results that have been obtained using a simulation study indicates that the Bias and the mean square error (MSE) depend on the sample size and the degree of the correlation as well as the design propensity score model. I have observed that the estimation method of logistic ridge regression (LRR) and principle component logistic regression (PCLR) was the best of the maximum likelihood estimates (MLE).In addition to the simulation study, has been applied method of logistic ridge regression (depending on(2 - 16)) on the data of the fact disease, kidney failure, which was obtained from the (Al_Emamyn city hospital) for different models to estimate the propensity scores and then estimate average treatment effect (ATE).

تقدير دوال الفشل للتوزيع الناتج من دمج توزيع بواسون ليندلي مع توزيعات اخرى == Estimating The Functions Failure Which Gains From Compound Poisson Lindley Distribution With Other Distributions

Author name: علي بندر نعيمة

Supervisor name: عماد حازم عبودي

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:

مقارنة بعض طرائق تقدير المعلمات الهيكلية لمنظومة المعادلات الانية الخطية في القياس الاقتصادي مع تطبيق عملي == A Comparison of Some Methods of Estimating The Structural Parameters of The Linear Simultaneous Equations System In Econometrics With A Practical Application

Author name: علاء حسين صبري

Supervisor name: ايمان محمد عبد الله المشهداني

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:

الطرائق المعلمية واللامعلمية لاختبارات عدم تجانس التباين مع تطبيق عملي == Methods Parametric And Nonparametric Tests For Heterogeneity of Variance With Practical Application

Author name: علا هادي صادق الوائلي

Supervisor name: محمود مهدي حسن البياتي

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: تم في هذه الرسالة دراسة بعض من طرائق اختبارات تجانس التباين المعلمية والاختبارات اللامعلمية والمقارنة فيما بينهم في ظل انتهاك واحد او اكثر من الافتراضات الاساسية لتحليل التباين اذ تم استعمال الطرائق المعلمية الخاصة باختبارات تجانس التباين مثل (اختباركوكرا | Been in this Search the study of some of the methods of the homogeneity of variance parametric tests and nonparametric tests as well as the comparison among them under one or more violation of the basic assumptions for analysing the variance, by using the methods of parametric tests which they especialist to the homogeneity of variance such as ( Cochran test , Hartley test, Bartlett test, Levene test, Fisher test) and by using the nonparametric tests which they were expected to be more reliable in the case of one or more violation that related to the special analysis of variance assumptions such as (Ansari - Bradly test, Mood test, Klotz test, test Seigel - Tukey) as the comparison was done among the tests above are based on the possibility of The type I error, as well as relying on standard power of the test. The comparison was made between the estimation methods parametric and nonparametric using simulations and by generating symmetric distributions such as the normal distribution and the uniform distribution and nonsymmetric distributions (twisted) such as the gama distribution. Has been reached in this search that Cochran test may superiority the rest of the tests parametric based on the type I error and power of the test was followed by tests (Hartley test, Bartlett test, Fisher test , Levene test), as for nonparametric tests the Ansari - Bradley test has superiority the rest of the nonparametric tests based on the type I error and power of the test then followed by standard tests (Mood test , Klotz test , seigel - Tukey test). The search also included a practical application of the data taken from the Medical College of Technology of the University of Baghdad for all stages and all sections to calculate body mass (bmi)

تحليل تصميم العبور بفترتين ودراسة التاثير المتبقي == The Analysis of The Two Period Cross - Over Design And Study of The Residual Effect

Author name: عقيل اكرم علي الزبيدي

Supervisor name: لميعة باقر جواد الجواد

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: في تجارب العبور كل وحدة تجريبية تستقبل اثنين من المعالجات او اكثر خلال الزمن.في ابسط الحالات تستقبل اثنين في المعالجات الوحدة التجريبية تعطي اولا واحدة من المعالجات ثم (تعبر) لتستقبل المعالجة الثانية.تصميم العبور بفترتين كثيرا ما يستخدم في التجارب الطبية | In crossover trials each experimental unit receives two or more treatments through time ; in the simplest case of two treatments , the subject is first given one of the treatments and then crosses over to the other treatment.The tow - period cross - over design is rather often used in medical trials ,especially with chronic diseases or in drug experiments with volunteers.With this design the error variance is reduced by applying both treatments to the same subjects ;and to exclude time (period)effects ,one group of subjects receive the treatments in the sequence AB and the other group receives the treatments in the sequence BA The disadvantage of this design is that in the second period there may be a residual effect of the treatments given in the first period.When the assumption of normal distribution and homogenous of variances are hold the perfect procedure to analysis (TPCOD) is F test and t test but when the assumptions are not hold or the data are pure ordinal like scores , since sums or differences of such data or not reasonable, therefore, A nonparametric model for cross over design is best.We select three experiments to compare between the parametric and nonparametric procedures.we proposal a nonparametric procedure to estimate and test the (TPCOD) that is adopt the nonparametric procedure against the parametric in the case of violation of assumptions

حل مشكلة النقل في ظل قيود ميزانية الشركة مع تطبيق عملي == To Solve The Transportation Problem In Light of The Company'S Budget Restrictions With Practical Application

Author name: عفراء عباس حمادة

Supervisor name: سميرة خليل ابراهيم

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: تعتبر مشكلة النقل احد الاساليب الرياضية المهمة التي تساهم في عملية اتخاذ القرار المناسب في نقل السلع من مصدر انتاجها او تجهيزها الى مراكز طلبها المتعددة باقل التكاليف الممكنة, وضمن حدود العرض والطلب في كافة المنشات الصناعية, الاقتصادية والانتاجية. وفي ه | The problem of transportation is one of the important sports methods that contribute to the decision - making process in the transfer of goods from the source of production or processing to the centers of multiple demand at the lowest possible costs, and within the supply and demand in all industrial, economic and productivity. In this thesis, a model was presented for the problem of unbalanced transportation within budget constraints and demand for specific periods with a lower limit and an upper limit. This model was solved using the Interval point method to find the optimal solution to the problem of transportation with budgetary constraints. Which contributed to the selection of suitable solution for administrative and economic decision makers according to their potential and financial availability, as well as the use of the zero - point method to solve the linear model of the problem of transportation proved to be efficient and easy to apply. The simplex programming method was used to solve the transportation problem For. This method has proven to transportation larger volumes and lower transportation costs for Lower and Upper demand but exceeded the budget allocated by the company to transportation the product. The total transportation cost of the black oil (fuel oil) in the way of the Interval point method to the lower limit (187700000) and the cost of the upper limit (247600000) and did not exceed the budget allocated for transportation from the company (225500000), but reduced the cost of transportation to (22557808) (9,705.47) tons. The general linear programming method (Simplex) was the lower limit cost (180280000) and the cost of the upper limit (240000000) and the total cost of transportation was (233097.76) exceeded the budget allocated for transport by the company by (7597.76) and quantities transferred (10004.09) tons.

دراسة احصائية عن العوامل المؤثرة على التضخم في العراق == A Statistical Study On The Factors Affecting Inflation In Iraq

Author name: عطا كريم محمود العامري

Supervisor name: محمود مهدي حسن البياتي

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 هذا البحث يهدف الى اظهار اهم العوامل والمتغيرات المؤثرة على التضخم في العراق من خلال دراسة عدد من المتغيرات وتحليلها احصائيا باستعمال اسلوبين من التحليل حيث تم استعمال اسلوب التحليل العاملي من خلال استعمال (15) متغير اذ يعتبر هذا الاسلوب من اساليب الت | This research aims to show the most important factors and variables affecting inflation in Iraq through the study of a number of variables and analyzed statistically using the two methods of analysis where the use of the style factor analysis through the use of (15) variable, as is the technique of analysis methods of modern, in addition to using multiple regression approach for the purpose of formulating a model statistically appropriate to predict inflation rates and determine the most important variables affecting it. As it ensures Find four seasons, has included the first chapter the research methodology and previous studies, while the second chapter included the theoretical side of research and was Bembgesan, Section I T_khassalganb theoretical your style factor analysis and its importance and methods of factor analysis with a focus on how the major components, while the second section has included the theoretical regression to the style of its details. It included the third quarter the practical side was Bembgesan, specialty section first application of the style factor analysis and analysis of the structure of the links, either second section has included the use of style gradient to reach the best model regression expresses the relationship between the most important variables illustrations (Independent) and variable adopted, which represents inflation, in addition to the possibility of the use of the model in futureforecasts. .The fourth quarter has included the most important conclusions that have been reached, as well as ensure that the recommendations. Has been the most important conclusions that the average daily exports of crude oil is the most influential on the rates of inflation and this is what led to be one of the important recommendations in the research is to increase exports of crude oil at the present time for the purpose of reducing inflation as the inverse relationship between inflation and average daily crude oil exports, in addition to that it was important recommendations is the diversity of sources of revenue without relying on crude oil imports note that it requires a long period of time.

استعمال بعض نماذج السلاسل الزمنية للتنبؤ بمحصول الرز في بعض مناطق الوسط والجنوب في العراق == Use Some Time - Series Models To Predict Rice Production In Some Middle And South Areas In Iraq For The Period (1969 - 2014

Author name: عدويه حسن يوسف الطائي

Supervisor name: غفران اسماعيل كمال

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:

استعمال بعض الاساليب الاحصائية للتنبؤ بانتاج محصول الشلب في العراق للمدة (2025 - 2016) == Some Use Statistical Methods To Predict The Yield of Rice Production In Iraq (2016 - 2025)

Author name: عبير محمود جاسم

Supervisor name: احمد ذياب احمد العزاوي

General topic: Administration and Economics

Specific topic: Statistics

Degree: Higher Diploma

University: University of Baghdad - Faculty Of Administration And Economics - Department Of Statistics

Language: Arabic

University location: Baghdad

First pages:

Abstract: يعد القطاع الزراعي من القطاعات المهمة في عملية البناء الاقتصادي والاجتماعي في بلدان العالم المختلفة وان على الزراعة ان تسد حاجة السكان من الغذاء حتى يتحقق الامن الغذائي.ويعد محصول الشلب من المحاصيل الصيفية المهمة التي تزرع في المناطق المروية من وسط وجنوب | The agricultural sector of the important sectors in the process of economic and social reconstruction in the different countries of the world and on agriculture to meet the needs of the population of food so food security is achieved. The rice crop of the important summer crops grown in irrigated areas of central and southern Iraq, one of the important crops in food intake in Iraq depends upon the Iraqi individual in the food and meals. This research aims to predict the production of rice crop in Iraq for the period (from 2016 to 2025) through the time - series models using the Box and Jenkins models, which requires diagnosing the appropriate model and appropriate grade for this model to represent the phenomenon studied and based on annual data for the period analyzed (from 1975 to 2015), which was obtained from the Central Bureau of Statistics. After analyzing the data using statistical software gretl and address some of the problems that could have exposed the data and obtain the appropriate models to represent the production of rice, and in the model of the time series were tested stability of the chain in terms of both the contrast and the Mediterranean have shown results of the analysis after the trade - offs between Box and Jenkins models for series production of rice the adoption of standard Akaike Information Criterion (AIC) and the standard Schwartz Bayesian Criterion (SBC) and standard Hannan - Quinn (H - Q) to be after that model representative for the production of rice crop in Iraq is ARIMA (2,1,2) and test the independence of the wrong paradigm and then predict for the years (2016 - 2025).

استعمال التحليل العنقودي لبيان تغير نمط الانفاق في العراق للسنوات (1971 - 2010)

Author name: عبير عباس ناصر

Supervisor name: لميعة باقر جواد الجواد

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:

تشخيص وفحص مدى الملاءمة لنماذج السلاسل الزمنية المختلطة ذات الرتب الدنيا == Identification And Diagnostic Checking For Low Order Mixed Models

Author name: عبيد محمود محسن الزوبعي

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: تمثل الهدف ببحث مرحلتي التشخيص Identification وفحص مدى الملاءمة Diagnostic checking للنماذج المختلطة ARMA ذات الرتب الدنيا في مجال الزمن Time Domain وفي مجال التكرار Frequency Domain والمقارنة بين ادوات التشخيص ومعايير اختيار الرتبة واختبارات فحص مدى المل | The aim of this work is to study the two stages of identification and diagnostic checking of mixed models (ARMA) with low orders of time domain and frequency domain.The methodology of research had tackled in balanced way both the theoretical part (by using statistical theory) and experimental part (by using simulation). The thesis consisted of five chapters in addition to introduction. The first chapter contained the basic concepts of time series, stationary, mixed models with low orders and analysis tools for time domain and frequency domain.The second chapter included the identification stage as it contained the identification tools and selection criteria for models order.Also it included asggestion for two new methods of identification and anew criterion for order determination. The third chapter tackled the diagnostic checking by using a group of tests depending on time domain and frequency domain.Also it included viewing of some other aspects in time series analysis in order to open new avenues which could be traded by other researchers.The fourth chapter contained the experimental part by applying what had been depicted in previous chapters on mixed models (ARMA(1,1)), (ARMA(1,0)) and (ARMA(0,1)) and then to find out comparisions between identification tools, order selection criteria and diagnostic checking tests through giving different values of the parameters [?1,?1] and for different sizes of series and by iterating the experiments (1000) times.It had been arrived at some conclusions and recommendations which were consisting the fifth chapter

التنبؤ بحركة الطرود البريدية الصادرة والواردة باستعمال نماذج بوكس وجينكنز == Forecasting The Movement of Incoming And Outcoming Postal Parcels Using Box - Jenkins Models

Author name: عباس دوين عنكوش

Supervisor name: اسماء غالب جابر الراوي

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:

حساسية نموذج مباراة تفاضلية == The Sensitivity of Diffential Game Model

Author name: عايدة زاوين ارشاكيان

Supervisor name: ظافر حسين رشيد النجار | 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:

المويجات الهندسية المكيفة وتطبيقاتها في ازالة التشويش للصور الرقمية == Adaptive Geometrical Wavelets And Their Applications In Digital Image De - Noising

Author name: عامر محمد نوري المهداوي

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: تختلف الاهمية النسبية للمعلومات المرئية المحتواة في الصور. اذ ان البحوث الحديثة في فسلجة الرؤية اثبتت بان الدماغ البشري يتحسس لحواف مكونات الصورة بالدرجة الاولى، اما الانسجة فتاتي بالدرجة الثانية من الاهمية. دفع هذا الامر العديد من الباحثين في حقل المعالج | The importance of visual information contains in images are relatively deferent. Recent researches in psychology of vision have proven that human brain senses the edges of image objects in the first order, where image textures comes in the second order of importance. This problem had motivated researchers in the field of image processing towards finding new efficient methods that work on eliminating less important visual information which gives as a result a brief description containing the most important information. This description serves two domains : the first one is image compression, where it is possible to reduce the amount of data used in representation, which helps in reducing the required transmission time and also needs less storage size. The second one is image denoising, by reducing the importance of noisy data which helps in eliminating the noise, or at least compress its effect.Recently, it has become evident that separable transforms, such as wavelets, are not necessarily best suited for image representation due to their disability of catching line discontinuities that represent the objects edges, which make them unsuitable in giving adequate description for deferent geometrical shapes of these edges. This led to the appearance of the geometrical wavelets which has been proven its superior to nearly all of the classical wavelets in giving higher specific approximations and much more economical in data size of the image. These functions are non - separable and they are divided into two parts : adaptive functions and non - adaptive functions.This dissertation focuses on studying the first and most important function of the family of adaptive geometrical wavelets functions, the one called wedgelets, in addition to propose generalizations to it in order to make it more flexible in catching deferent curved shapes of image edges, which improves its performance in providing much more specific approximations depending on less number of coefficients. This work emphasizes basically in image denoising. And in order to increase the applicable importance of these functions, it has been suggested two methods to estimate the noise level that effects the image, and eventually choosing the best approximation according to this estimation.Finally, a comparison is made between the proposed approximation methods and the classical ones by applying on several tested images that have deferent properties, through the simulation of exposing them with deferent levels of noise. The results of this comparison shows good size of improvement in the performance achieved by the addition of these proposed functions.

استخدام مرشح الموجة الصغيرة المتقطعة في تحليل السلسلة الزمنية AR (1) ومقارنته مع مرشحات اخرى == Using Discrete Wavelets Filter In Analysis of Time Series AR(1) And Comparison With Other Filters

Author name: طه حسين علي الزبيدي

Supervisor name: عبد المجيد حمزة الناصر

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: تم في هذه الاطروحة معالجة مشكلة الضوضاء (او التلوث) الذي يمكن ان تتعرض له مشاهدات السلسلة الزمنية باستخدام مرشحات الموجة الصغيرة والاعتماد على تحليل المعلومات من خلال التردد فضلا عن الزمن مقارنة مع تحليل فورير الذي يحلل المعلومات عن طريق التردد فقط مهم | This Thesis deals with the problem of Noise (or Contamination) which may encounter the time series data using Wavelet Filters and depending on the information analysis through the frequency in addition to the time compared to Fourier Analysis which analyze the information through the frequency only omitting the time factor, this was performed through the use of Discrete Wavelet Transformation as a filter to clean the data from the contamination or the noise factors by direct or with some kinds Thresholding , and then Estimate the First - order Autoregressive Model for the filtered time series observations and compare the results with what results from the use of time series observations that are contaminated and filtered by using Wiener and Kalman filters depending on some statistical Criterias, which are The Mean Square Prediction Error, Final Prediction Error, and The Mean Absolute Prediction Error.This study presents the suggested method as well, that depends on the Wavelet as Input for The Artificial Neural Network, and then use the outputs of this Network to Estimate The First - order Autoregressive Model to the time series observations that are filtered, and compare the results with the Classical Method - Neural Network, Haar Wavelet, and Daubechies Filters of the directs from second order and which used with Soft, Mid, and Hard Thresholding by depending on the statistical Criterias given before through using the simulation experiments in addition to use real data represents time series observations of sunspots, and in order to perform this analysis the researcher designed the required computer codes by using MATLAB Language.

مقارنة بعض الطرائق الحصينة في تحليل الارتباط القويم الخطي باستخدام المحاكاة مع تطبيق عملي == Comparison of Some Robust Methods In Linear Canonical Correlation Analysis of Simulation Used With Practical Application

Author name: طارق عزيز صالح

Supervisor name: لقاء علي محمد العلوي

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: تبرز اهمية الحاجة الى طرائق تقدير كفء والتي تسمى بالطرائق الحصينة (Robust Methods) عندما تكون بيانات الظاهرة المدروسة ملوثة، او وجود شواذ في المشاهدات، والتي ينتج بسببها مقدرات تؤدي الى زيادة او نقصان في متوسط مربعات الخطا (MSE) مما يؤدي الى استدلال احص | The important of the necessity to my efficient estimation methods, which are called the robust methods, appears when the data of the studied phenomenon are contaminated, it means the observations contains outliers,which may produce estimators which result in increasing (decreasing) in the (MSE), That would leads to an inaccurate statistical inference. From this point was the good behind this research in reaching robust estimators of canonical correlation analysis that can be achieved through the study of some robust methods such as (estimators - M, estimators - MVE, estimators - MCD and estimators - S).for the failure of the classical methods of estimation of canonical correlation analysis at containing data on the ratio contamination (outliers), that leads to the derivation of incorrect covariance matrix consequently to correlation matrix and a series of relations between the incorrect variables. Therefore the robust methods were used in the calculate of covariance matrix which would lead to robust matrices to robust canonical correlation analysis.In order to achieve the objectives of the research, it was divided into four chapters.The first chapter included the introduction, purpose of search and review of literature, the second chapter tackled the theoretical aspect of the robust methods in canonical correlation analysis as well as some of the important concepts, the third chapters deals with the application aspect in which tow types of applied studies were made, The first one uses the simulation method to compare among the studied methods of estimation in canonical correlation analysis and detect the best of the estimator depending on the two statistical measurements bias mean and mean square error which renders the minimum MSE of canonical correlation analysis, the second study uses the truthful data to verity the performance in a practical actuality.Finally, the fourth chapter included the conclusion, recommendations to which the researcher has arrived. In general it is regarded that MCD estimator is the best in the estimation of canonical correlation analysis in comparison with the other studied methods of estimation.

التنبؤ باعداد طلبة المدارس في محافظة بغداد لغاية 2024 == Forecasting Numbers of School Students In Baghdad Province Up To 2024

Author name: صهيب اسماعيل عبد اللطيف

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: جميعنا يعلم ان التعليم يبدا من خلال مراحل متعددة والتي تشكل سلسلة زمنية يمكن الاستفادة منها والتنبؤ بها من اجل تحسين وتطوير هذا القطاع المهم, مما لاشك فيه ان للتنبؤ دورا مهما وبارزا في عملية اتخاذ القرارات التي ترسم مسار الادارات والهيئات لما له من نتا | We all know that education starts through multiple stages, which constitute a time series that can be tapped and predictable in order to improve and develop this important sector.There is no doubt that to predict an important and prominent role in the decision - making process that paint departments and agencies track because of its ineffective results, because it contains a range of methods and statistical methods, including the methods, time series analysis and style Box and Jenkins, one of them, which depends on the time series of the phenomenon being studied analysis to provide the so - called autoregressive moving averages models characterized that methodology that can predict the data that appear in the future, based on time series data of interest in the past.The research aims to predict the numbers of school students, and educational supplies to the province of Baghdad, using the best model among the Box _ Jenkins models.The most research data numbers, primary and secondary school students in the province of Baghdad and for the period from 1969 until 2014, equivalent to (45) Show, which build a better model was to predict the numbers of students for both phases (primary, secondary), where the researcher found a better specimen prediction for primary school students was the specimen is ARIMA (1,1,3) the best specimen for secondary students is ARIMA (1,1,0) and through a table predictive values for each of the primary and secondary enables the researcher to assess the educational supplies by developments in the preparation of students increase according to the regulations and instructions of the Ministry of Education.Search was divided into four chapters shows the first chapter introduction research and objective of the research and review Reference The second chapter took the theoretical aspect of identifying the theoretical bases of Box_cengnz models in time - series analysis of either the third quarter included the practical side.Was estimated (the number of people to primary and secondary education, the number of primary and secondary schools, the number of teachers, number of teachers, the number of supervisors, the number of supervisors specialists, the number of school trips, the number of books for primary and secondary).The fourth chapter and the latter is for the conclusions and recommendations reached by the researcher that benefit the sound development of plans for the advancement of the educational sector

مقارنة بعض طرائق تقدير المعلمة والمعولية لانموذج ريلي للفشل لبيانات تامة وبيانات تحت المراقبة من النوع الاول باستخدام المحاكاة == A Comparison of Some Estimation Methods of Parameter And Reliability of Rayleigh Failure Model For A Complete Data And Type One Censored Data By Using Simulation

Author name: صبا صباح احمد الجميلي

Supervisor name: عبد المجيد حمزة الناصر

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: تعرض الكثير من الباحثين الى انموذج ويبل للفشل (Weibull Failure Model) وتطبيقاته المختلفة كونه احد نماذج الفشل الشائعة الى جانب اهميته في حقل المعولية واختبارات الحياة. فـي هـذا البحث تـم تقديـر معلمــة القياس ودالـة المعوليـة لانموذج ريلـي للفشـل (Rayle | Weibull Failure Model and its different applications have been studied by many researchers, since it is one of the well known failure models in addition to its importance in the reliability field and life tests.This research estimated the scale parameter and reliability function for Rayleigh Failure Model, which is one of the well known failure model in the reliability field and life tests and the signal analysis.The research focused on the comparison between some of the well known estimation methods (classical and Bayesian) for the scale parameter and reliability function of this model by using the Maximum likelihood, Moments, White and Standard Bayes estimation methods.The methodology of the research depends on theoretical study, the methods of classical and Bayesian estimation has been determined elaborately to arrive to the estimations forms of reliability.Also this research depends on an experimental study by designing number of simulation experiments using various values of parameters and sample sizes, this experiment replicated to get high homogeny for the comparison among the estimation methods.Two kinds of data are used in the research : 1 - Complete Data.2 - Time - Censored Data. The researcher suggested two Bayesian methods for estimation in case of complete data; the first is a loss function obtained by compressing the well known square loss function which called it (The Compressed Bayes Method), and the second is a prior function which is called (The Developed Bayes Method). The comparison between the two proposed methods is done to show the effect of Bayesian estimator, then a comparison done between the best proposed methods with the best well known methods to show which estimator is the more accurate to be used for estimation the scale parameter and reliability function for Rayleigh failure model.The results of these experiments show that White method is the best from the other methods which are used in this research in estimating the scale parameter and reliability function, and the results show that the proposed Compressed Bayes method is better than the Standard Bayes and the Maximum Likelihood methods, while the proposed Developed Bayes method verified that it is better than the Moment method in estimating the scale parameter and the reliability function; and better than the Maximum Likelihood estimation method in estimating the reliability function, and using any of the proposed methods (Compressed Bayes, Developed Bayes) is better than the Standard Bayes method. In case of censored data the simulation experiments proved that the Maximum Likelihood estimation method is better than the Standard Bayes estimation method. A comparison of preference estimation methods is done by using the two standards; Mean Square Error (MSE) and Mean Absolute Percentage Error (MAPE).

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)

Author name: شيماء محمد 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:

استعمال بعض نماذج السلاسل الزمنية للتنبؤ باعداد التلاميذ المقبولين في الصف الاول الابتدائي في العراق للفترة (1969 - 2012) == Use Some Time - Series Models To Predict The Numbers of Pupils Admitted To The First - Grader In Iraq For The Period (1969 - 2012)

Author name: شيماء ابراهيم خليل

Supervisor name: هاني عبد الله حسن

General topic: Administration and Economics

Specific topic: Statistics

Degree: Higher Diploma

University: University of Baghdad - Faculty Of Administration And Economics - Department Of Statistics

Language: Arabic

University location: Baghdad

First pages:

مقدرات الامكان الاعظم الموزونة الحصينة ومقارنتها مع طرائق اخرى لانموذج اللوجستك مع تطبيق عملي == Robust Weighted Maximum Likelihood Estimates And Their Comparsion With Other Methods of Logistic Model With Practical Application

Author name: شرين علي حسين

Supervisor name: نزار مصطفى جواد الصراف

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 معظم الدراسات في موضوع انموذج انحدار اللوجستك تاخذ طابعا اكثر تقدما في عملية التحليل الاحصائي الدقيق الذي يهدف الى الحصول على مقدرات ذات مستوى عال من الكفاءة. وتاتي اهمية الحاجة الى تطبيق الطرائق الحصينة عندما تكون بيانات الظاهرة المدروسة ملوثة , | In most of studies about the logistic regression model take in it's nature more progness in the procedure of acurate statistical analysis which aim getting estimators of a high level of efficiency , and importance of it's necessity to applicate of the robust methods, appears when the data of the studied phenomenon are contaminated , it means some of the observations vareit clearly from other observations called outliers which may produce estimators untrustworthy and so the decision will be false about the problem that we are trying to study it.From this point was the goal of this research in reaching robust estimators to estimate parameters of binary response logistic regression model through study some of theis estimators (method (WMLE) , method( M ) and method (Lp) ) and that by supposing three levels of contamination (0%,10%,30%). Also we use simulation in this study to compete between methods of studied estimator for all levels of the contaminated studies.In this thesis the researcher concluded the success of the method (WMLE (w1)) in estimate parameters of binary response logistic regression model, in comparsion with studied estimate methods by depending on statistical measures : Bias, Mean Square Error for parameters and model.Also the researcher specified a chapter for applying and using method WMLE (w1) on real data of angina pectoris patients which taking from Ibn - al - Nafees hospital for the purpose of estimate parameters of binary logistic regression model.

استعمال المجموعات الضبابية ونماذج بوكس جينكنز في السلاسل الزمنية للتنبؤ ببعض نسب التلوث في مياه الشرب لمدينة بغداد == Using The Fuzzy Sets And Box - Jenkins Models In Time Series To Prediction Some Rates of Pollution In Baghdad City

Author name: سيف عدنان سلمان

Supervisor name: احلام احمد جمعة

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:

توظيف الخوارزمية الوراثية في انشاء تصاميم القطاعات غير الكاملة المتزنة == Construction of Balanced Incomplete Blocks Design (B.I.B.D.) By Using Genetic Algorithms (G.A.)

Author name: سهام دنخا خوشابا

Supervisor name: كمال علوان خلف المشهداني

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:

مقارنة بعض اختبارات ملاءمة نماذج السلاسل الزمنية ذات الرتب الدنيا باستخدام المحاكاة == Comparison of Some Diagnostic Checking Tests For Time Series Models With Low Order By Using Simulation

Author name: سهاد احمد احمد

Supervisor name: احلام احمد جمعة

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 دراسة السلسلة الزمنية تتطلب دقة في وصف ملامح الظاهرة (العملية) التي تتولد منها، سواء من حيث تفسير طبيعة تلك الظاهرة وسلوكها واستخدام النتائج للتنبوء بسلوكها في المستقبل اخذين بنظرالعناية التحقق عما يمكن حدوثه عند تغيير بعض معلمات الانموذج. ويمكن استخ | Studying time series requires an accurate description for the features of phenomena (procedure) that generates time series according to its nature and behavior interpretation. After that, we can use these results for forecasting to the future taking under consideration : examine to what would happen after changing some of the model parameters, use the standard (depended) methods for testing the accuracy of the identified model which has ability for taking errors in the procedure, and provide balancing condition between model diagnosing and simplicity as well as. This research aims to use some of tests concern with diagnosing of the identified model, and make comparisons among these tests meanwhile. The researcher took some of tests, especially, the modern ones, represented by Dm test which depends on partial autocorrelation function, and which depends on autocorrelation function. We use ARMA models with lower order : [AR (1), MA (1), ARMA (1,1)] that Gaussian distribution. Furthermore, we use the tests concern with linear hypothesis diagnosing for the previous three models, represented by squaring the model errors. We use also, the modified tests in this field. In addition, we use some of nonlinear models, as "Threshold" model, and taking self - exciting threshold autoregressive (SETAR) as a special case. The analysis of time series considered time range under model stationary. Methodology of the research depends on both the theoretical part (Statistical theory usage), and the empirical part (Simulation). The structure of the research has mainly based on four chapters as follow : chapter ONE, consists an introduction, the goal of the research and the historical literature. While chapter TWO, covers the statistical methods that take part describing and modeling the time series, as well as explain the main concepts of time series such as "Stationary". We show also, the "mixed" model with lower order, crossing to examining the diagnosing through some of the standard and modern tests which depends on autocorrelation and partial autocorrelation functions of the standardized residual series that obtained from the original series of the model, by testing the randomization of the model errors and make checking for its convenience and accuracy. Furthermore, we use the modified tests : ( , , )and (Kwan & Sim) test represented by ( , , ) to determine the linear hypothesis diagnosing by compute the standardized residual series squares of the error in the previous three models that mentioned above. We use nonlinear model (SETAR) as well as. Chapter THREE, devoted for the empirical part which contains illustrations to all of what mentioned in chapter two. The researcher has designed some of experiments for purpose of comparing the (standard, modern and modified) tests through computing (P - value) for each model at (0.01) significant level at many simulated parameters, with different sample sizes, and for a number of periods of lags at each sample size, by replicating the experiment (1000) times. Finally, chapter FOUR comprises the conclusions and suggestions that the researcher had recommended