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استعمال التحليل التمييزي في تصنيف درجة التشوه للولادات == Use of discriminatory analysis in the classification of the degree of deformity of births

Author name: شهد نجم عبد الله
Supervisor name: عائده هادي صالح
Specific topic: Statistics
Degree: Higher Diploma
Language: Arabic
University location: Baghdad
First pages:

نمط انتشار مرض سرطان البنكرياس في المحافظات العراقية == Pattern of pancreatic cancer spread in Iraqi provinces

Author name: زهراء صاحب كاظم الخفاجي
Supervisor name: رواء صالح محمد
Specific topic: Statistics
Degree: Higher Diploma
Language: Arabic
University location: Baghdad
First pages:

استعمال بعض اساليب متعدد المتغيرات في تحليل البيانات الصحية

Author name: زهراء خالد باهض
Supervisor name: حسام عبد الرزاق رشيد
Specific topic: Statistics
Degree: Higher Diploma
Language: Arabic
University location: Baghdad
First pages:

بعض طرائق تقدير معلمات توزيع ويبل لوضع التنبؤات المستقبلية == Comparison of some Estimation methods for parameters of Weibull Distribution to set up the future forecasting

Author name: رائد فيصل شرهان المرياني
Supervisor name: عبد الرحيم خلف راهي الحارثي
Specific topic: Statistics
Degree: Master
Language: Arabic
University location: Baghdad
First pages:

دراسة مقارنة لبعض طرائق تقدير مصفوفة التباين والتباين المشترك الحصينة للمعلمات المقدرة بطريقة OLS == Comparative Study of Some Methods of Estimating Robust Variance Covariance Matrix of the Parameters Estimated by (OLS

Author name: ديان حميد مجيد الربيعاوي
Supervisor name: سلمى ثابت ذاكر الالوسي
Specific topic: Statistics
Degree: Master
Language: Arabic
University location: Baghdad
First pages:

تقييم الاثار المترتبة لادمان المخدرات بين الشباب باستخدام اسلوب المعاينة المختلطة المتسلسلة == Assess the Effects of Addiction Among youngest using Sequential Mixed Method Sampling

Author name: دعاء حبيب غضبان
Supervisor name: سهاد علي شهيد
Specific topic: Statistics
Degree: Higher Diploma
Language: Arabic
University location: Baghdad
First pages:

تصميم عدم استمرارية الانحدار(RD) في تقييم البرامج مع تطبيق عملي == Regression Discontinuity Design (RD) for Evaluating Programs with Practical Application

Author name: حسـن يحيى حسن
Supervisor name: افتخار عبد الحميد النقاش
Specific topic: Statistics
Degree: Master
Language: Arabic
University location: Baghdad
First pages:

مقارنة انموذج المؤشر المنفرد المعلمي وشبه المعلمي مع تطبيق عملي == Comparisons parametric and semi parametric single index model with Application

Author name: حبيب صفاء قاسم الفريجي
Supervisor name: عدي طه رحيم العنبكي
Specific topic: Statistics
Degree: Master
Language: Arabic
University location: Baghdad
First pages:

مقارنة طرائق بيز والمربعات الصغرى الشرطية لتقدير معلمات انموذج العتبة للانحدار الذاتي عندما يتبع حد الخطا توزيع (Pareto) مع تطبيق عملي == Comparison of Bayes and Conditional Least Squares Methods to Estimate the parameters of Threshold Autoregressive Models When the Error term follows Pareto Distribution with Practical Application a

Author name: اياد جواد حسن
Supervisor name: جواد كاظم خضير الموسوي
Specific topic: Statistics
Degree: Doctorate
Language: Arabic
University location: Baghdad
First pages:

مقارنة بعض اللوحات اللامعلمية متعددة المتغيرات في عملية السيطرة الاحصائية على النوعية مع تطبيق عملي == A Comparison of Some Nonparametric Multivariate Control Charts in the Statistical Quality Control Process With Practical Application

Author name: امينة كريم عيسى السوداني
Supervisor name: حمزة اسماعيل شاهين
Specific topic: Statistics
Degree: Doctorate
Language: Arabic
University location: Baghdad
First pages:

استخدام مظروف البيانات في تقويم كفاءة اداء كليات جامعة بغداد باعتماد اوزان اسلوب التحليل الهرمي الضبابي == Using Data Envelopment Analysis in Evaluating Performance Efficiency for Colleges of Baghdad University Depending on the weights gained from Fuzzy Analytic Hierarchy Process

Author name: امجد هبة الله حمزه الكناني
Supervisor name: حامد سعد نور الشمرتي
Specific topic: Statistics
Degree: Master
Language: Arabic
University location: Baghdad
First pages:

مقارنة بعض الطرائق الحصينة لتقدير معلمتي توزيع دالة القوى مع تطبيق عملي == Comparison of some robust methods for estimating power function distribution parameters with application

Author name: امانة عماد لعيبي المحمداوي
Supervisor name: خولة حسين احمد
Specific topic: Statistics
Degree: Master
Language: Arabic
University location: Baghdad
First pages:

التحليل الاحصائي لاستبانة ضمان الجودة لطلبة جامعة ذي قار == Statistical Analysis for Questionnaire Quality Assurance for Students of Dhi Qar University

Author name: افياء رحيم خضير
Supervisor name: عادل احمد هدو
Specific topic: Statistics
Degree: Master
Language: Arabic
University location: Baghdad
First pages:

استخدام سلاسل ماركوف المخفية في تحليل البيانات الحيوية == Using Hidden Markov Chains in Biological data analysis

Author name: اسماء حسين سمير ديوان
Supervisor name: عبد الرحيم خلف راهي الحارثي
Specific topic: Statistics
Degree: Doctorate
Language: Arabic
University location: Baghdad
First pages:

استعمال لوحات السيطرة الحصينة متعددة المتغيرات في السيطرة النوعية على الانتاج مع تطبيق عملي == Using the multivariate Robust control charts for Quality control in production - with application

Author name: اريج ابراهيم توفيـق
Supervisor name: حمزة اسماعيل شاهين
Specific topic: Statistics
Degree: Master
Language: Arabic
University location: Baghdad
First pages:

مقارنة بعض المقدرات الحصينة لمعلمتي الموقع والقياس للتوزيع الطبيعي متعدد المتغيرات مع تطبيق عملي == Comparison of Some Robust Estimators for Location and Scale of Multivariate Normal Distribution with Practical Application

Author name: احمــد عباس مصــلح
Supervisor name: حمزة اسماعيل شاهين
Specific topic: Statistics
Degree: Master
Language: Arabic
University location: Baghdad
First pages:

استعمال اسلوب بيز والبرمجة الهدفية في تقدير معالم الانحدار == Bayes Method & Goal programming to estimate the regression parameters

Author name: احمد تركي عبد علي
Supervisor name: جاسم ناصر حسين
Specific topic: Statistics
Degree: Master
Language: Arabic
University location: Karbala
First pages:

اختيار افضل تقدير نموذج انحدار لتوزيع ذي الحدين السالب مع تطبيق عملي == Choice of best estimate of regression model to negative binomial distribution with practical application

استعمال التجارب العاملية في دراسة تاثير التفاعل مابين الماء الممغنط والمركبات النانوية في احد مؤشرات النمو لنبات الفلفل == Using of factorial experiment design to study the effect of interaction between magnetized water and Nano particles in one growth indicators of peppers

Author name: مرتضى معطي هادي الفتلاوي
Supervisor name: عواد كاظم الخالدي | بشير عبد الحمزه العلواني
Specific topic: Statistics
Degree: Master
Language: Arabic
University location: Karbala
First pages:

استعمال بعض طرائق التنبؤ المختلفة لتحليل اعداد المصابين بالاورام الخبيثة == Use of different prediction methods To analyze the numbers of patients with malignant tumors

Author name: صفاء مجيد مطشر الكلابي
Supervisor name: عدنان كريم نجم الدين
Specific topic: Statistics
Degree: Master
Language: Arabic
University location: Karbala
First pages:

دراسة تطبيقية لتحليل التمايز في بعض النماذج الاحصائية == An Applied Study to Analyze Discriminant in Some Statistical Models

Author name: مريم مهدي عناد الخزعلي
Supervisor name: شروق عبد الرضا سعيد السباح
Specific topic: Statistics
Degree: Master
Language: Arabic
University location: Karbala
First pages:

مقارنة مقدرات انحدار الحرف والمركبات الرئيسية والمربعات الصغرى الجزئية في نموذج الانحدار

Author name: زينب كاظم مزهر القريشي
Supervisor name: شروق عبد الرضا سعيد السباح
Specific topic: Statistics
Degree: Master
Language: Arabic
University location: Karbala
First pages:

استخدام المتغيرات الموزعة زمنيا في تحليل الانفاق الاستهلاكي في العراق للمدة (2014 - 1995) == The Use of Temporally Distributed Variables in the Analysis of consumer spending in Iraq for the Period (2014 - 1995

Author name: اسراء فالح فاضل المسافري
Supervisor name: عدنان كريم نجم الدين
Specific topic: Statistics
Degree: Master
Language: Arabic
University location: Karbala
First pages:

اختيار النموذج الافضل لصفوف الانتظار في تحدين الخدمة المصرفية == Choose the best model for queues In improving the banking service

Author name: انصاف جاسم مهدي المسعودي
Supervisor name: عبد الحسين حسن حبيب الطائي
Specific topic: Statistics
Degree: Master
Language: Arabic
University location: Karbala
First pages:

العلاقة بين جدول تحليل تباين الانحدار وجدول تحليل تباين التجارب العاملية الكاملة == The relationship between the regression ANOVA table and ANOVA Table in Complete Factorial Experiments

Author name: رواء نوري حسين الشيخلي
Supervisor name: عواد كاظم الخالدي
Specific topic: Statistics
Degree: Master
Language: Arabic
University location: Karbala
First pages:

اختيار افضل طرائق تقدير المتغير المعتمد متعدد الاستجابة == Choose the best estimation Methods for the multi - response dependent Variable

Author name: ليث علي محمد الحيالي
Supervisor name: عبد الحسين حسن حبيب الطائي
Specific topic: Statistics
Degree: Master
Language: Arabic
University location: Karbala
First pages:

تقديرات دالة المعولية لتوزيع بواسون مع تطبيق عملي == Estimation of reliability function for Poisson distribution With practical application

Author name: زينب محمد باقر صادق الباقر
Supervisor name: عبد الحسين حسن حبيب الطائي
Specific topic: Statistics
Degree: Master
Language: Arabic
University location: Karbala
First pages:

دراسة الارتباط القانوني في نماذج الانحدار الخطي واللا خطي : دراسة تطبيقية == Study Canonical correlation in regression models linear and non linear Applied study

Author name: الاء فلاح حسن عطوان
Supervisor name: شروق عبد الرضا سعيد السباح
Specific topic: Statistics
Degree: Master
Language: Arabic
University location: Karbala
First pages:

استخدام اسلوب البوتستراب في تحليل النماذج المعلمية و شبه المعلمية و المقارنة بينهما == Use The Bootstrap in Parametric Models and Semi - Parametric Analysis and Comparison Between Them

Author name: نـور عـباس عمران النــصــراوي
Supervisor name: شــروق عــبـــد الــــرضا الســـباح
Specific topic: Statistics
Degree: Master
Language: Arabic
University location: Karbala
First pages:

استخدام التحليل الشكلي لمقارنة تاثير بعض المواد الكيميائية على صفات نبات الخيار == The use of profile analysis to compare the effect of some chemicals on the properties of cucumber

Author name: نبراس صلاح مهدي الموسوي
Supervisor name: شروق عبد الرضا سعيد السباح`
Specific topic: Statistics
Degree: Master
Language: Arabic
University location: Karbala
First pages:

توظيف تحليلات التجربة العاملية في تقدير انتاجية محصول الباذنجان في البيوت الخضراء الزراعية == Utilizing the analysis of factorial experiment in estimating the productivity of eggplant crop in the greenhouses

Author name: حمزة عماد عباس الدبس
Supervisor name: عواد كاظم الخالدي
Specific topic: Statistics
Degree: Master
Language: Arabic
University location: Karbala
First pages:

تقدير معولية نظام Cascade الاجهاد - المتانة لتوزيع احتمالي == Estimation of the reliability of the Cascade Stress - Strength System For probability distribution

Author name: سناء علي محمد العبودي
Supervisor name: مهدي وهاب نعمة نصر الله
Specific topic: Statistics
Degree: Master
Language: Arabic
University location: Karbala
First pages:

توليد المتغيرات العشوائية لتخمين معلات توزيع لوجستك باستخدام محاكاة منت كارلو == Generating Random Variates for Estimating the Parameters of Logistic Distribution by Monte Carlo Simulation

Author name: زهراء امروي علي حيدر الحجار
Supervisor name: اكرم محمد العبود
General topic: Mathematics
Specific topic: Statistics
Degree: Master
Language: English
University location: Baghdad
First pages:
Abstract: In this work, we consider the Logistic distribution of two parameters for its importance in statistics. Mathematical and statistical properties of Logistic distribution are considered, moments and higher moments are illustrated to the distribution parameters, namely, moments methods, maximum likelihood method, modified moments method, least squares method are discussed theoretically and assessed practically by utilizing two procedures of Monte Carlo simulation for generating random variates from the Logistic distribution. Properties of the estimators, such as Bias, variance, skewness, kurtosis and mean square error measurement are tabulated.

استخدام طريقة المربعات الصغرى المتناقصة والتمهيد المباشر في تقدير معلمات انموذج فورير للسلاسل الزمنية الموسمية == Using The Discounted Least Squares And Direct Smoothing Method For Estimate Fourier Parameters For Seasonal Time Series

Author name: محمد عبد الحسين محمد الغريباوي
Supervisor name: سلمى ثابت ذاكر الالوسي
Specific topic: Statistics
Degree: Master
Language: Arabic
University location: Baghdad
First pages:
Abstract: هناك العديد من الطرائق التي يمكن استخدامها في دراسة السلاسل الزمنية الموسمية , وطريقة فورير واحدة من هذه الطرائق التي تتعامل مع بيانات السلسلة الزمنية كسلوك جيبي باستخدام الدوال المثلثية. في هذا البحث تم استخدام (طريقة المربعات الصغرى المتناقصة والتمهيد

الطرائق التقليدية والطرائق البديلة لاختبار جذر الوحدة لاستقرارية السلسلة الزمنية : دراسة مقارنة == Traditional Methods And Alternative Methods To Test The Unit Root For The Stationary of Time Series - A Comparative Study

Author name: كوثر خضر ناصر الزيدي
Supervisor name: نزيه عباس المشهداني
Specific topic: Statistics
Degree: Doctorate
Language: Arabic
University location: Baghdad
First pages:
Abstract: يعد تحليل السلاسل الزمنية من الاساليب العلمية والاحصائية لتمثيل العلاقة لبيانات السلسلة الزمنية وتفسير سلوك الظاهرة من خلال دراسة تطورها التاريخي عبر مراحل زمنية، ويلاحظ في الحياة العملية والتطبيقية ان هناك العديد من السلاسل الزمنية لا تملك صفة الاستقرا | The time - series analysis of scientific methods and statistical representation of the relationship of the time series data and interpret the behavior of the phenomenon through the study of its historical development through the stages of time , and notes in the life process and applied that there are many time series do not have the recipe stability, So researchers began detects this problem and adopted for this purpose several methods of which are the subject of the unit root test , as this test of tests shows the task being equal to the number of roots per the correct number that corresponds to the necessary differences of the time series in order to turn out to be stability,. The condition of stability, of a specimen autoregressive is that all the roots of the equation distinctive located outside the unit circle , and the style of taking the differences necessary in order to transform the time series to the stability, style is not accurate to some extent to the fact that the probability of taking a number of differences more than required leads to inaccuracy of the work , so the test roots style is to know the number of differences required for the series studied the application of statistical methods for this test , and there are several ways to conduct this test , including traditional methods and modalities amended, has been comparisons between the methods used and the proposed method by the researcher through simulation through programs written by the researcher and the adoption of the application (Mat lab) where the comparison was between four models of testing unit root and through the results was reached similarities between the test (ADF, PP) and test(KPSS,LM) So was the adoption of a test (ADF, KPSS) and comparison with the proposed method, where the application has proved that there is a disparity between the test (ADF) and (KPSS) depending on the features and sizes of the samples, and that the proposed method was closer to a (KPSS) test , and have also been using data oil prices immediate (Spot Oil Price) for a time series of the month of January 1988 and up to the month of July 2013 and the application of unit root tests them through the use of application - ready (Eviwes).

استعمال انموذجات بوكس جينكنز للتنبؤ بوفيات حوادث المرور في محافظة كربلاء المقدسة للمدة 2010 - 2015 == Using Box - Jenkins’s Models For Analysis Road Accident Fatalities In Holly Karbala For The Period (2010 - 2015)

Author name: صبا جسوم عكلة
Supervisor name: عدنان كريم نجم الدين
Specific topic: Statistics
Degree: Master
Language: Arabic
University location: Baghdad
First pages:
Abstract: Time series Aproach concidered of important topics that it deals with the behavior of phenomena and its interpretations through different periods of time. This thesis aims to analyse Road Accident Fatalities in Holly Kerbala for period (2010 - 2015 ) using time series technique ( Box&Jenkins ) method.The outcome of the series analysis showed that the appropriate model is ARIMA )0,1,1).According to this model 10 years forcasts in monthly base was obtained for the Road Accident Fatalities inHolly Karbala for the period (2016 - 2026 )One of the important findings of this thesis is the consistency of the forcasts with the observed one which refers to the efficiency of the model.

دراسة مقارنة لبعض طرائق تقدير الانموذج الديناميكي المكاني الخاصة بـ (Panel Data) مع تطبيق عملي == Compared Study To Some of The Methods of Estimating The Dynamic Spatial Model For (Panel Data) With Practical Application

Author name: سهاد علي شهيد مجيد التميمي
Supervisor name: حامد سعد نور الشمرتي
Specific topic: Statistics
Degree: Doctorate
Language: Arabic
University location: Baghdad
First pages:
Abstract: يعد انموذج القياس الاقتصادي المكاني (Spatial Econometrics Model) احد انواع النماذج القياسية اذ تهتم بدراسة تاثير التفاعلات المكانية مابين الوحدات الجغرافية على الظاهرة المدروسة، تلك الوحدات من الممكن ان تكون مدن، بلديات، مناطق، دول، محافظات،... الخ. وت | Spatial Econometrics models are part of the Econometrics models as concerned with the impact of spatial interactions between geographic units. These units could be cities, municipalities, regions, states, provinces, etc..... It can also be used such models to explain the behavior of economic factors, geographic units, such as individuals, companies, or governments, if they were linked with each other through a network, but this type of studies in spite of a lot of use but less common.Should be noted that the spatial modeling studies differs from the time - series modeling studies, as the time - series studies focuses on the dependency between observation when a period of time and used the symbol (t - 1) to refer to the Lagged variables in time. It must be emphasized here that the (Spatial Econometrics) is not a direct extension for (Time - Series Econometrics) for two reasons; The first is that any geographical units can effect each other mutually, while it cannot be if they were tow observation at a certain time. Another factor most complex wide variety of units of measurement, which qualifies them for modeling spatial dependency (convergence, distances, bonding, etc...) compared with the measurement time dependency (time).In this thesis was to review some of the parametric techniques to estimate (Spatial Dynamic Panel Data Model (SDPD)), as there is dependent variable Lagged in time and extra (Endogenous Variables) in Spatial Dynamic Panel Data Model (SDPD) invalidate the use of estimation methods known like (Ordinary Least Square (OLS)) and the method (Maximum Likelihood (ML(. To overcome these problems, there are many empirical studies that have been applied in a manner estimate (Generalized Moment Method (GMM)), which were developed by each of the (Arellano & Bover 1995) and (Blundell & Bond 1998). As the main reason behind the use of estimator (GMM) to estimate the (SDPD) model is its ability to correct the interference (Endogeneity), which came by spatial lag variable also reason is due to the internal variables. In addition, it is estimated (GMM) is robust to some econometric issues such as measurement errors and poor (Instrumental Variable (IV)), it can also control the problem (Heteroskedasticity) and the problem (Autocorrelation) in the random error term, add to that the flexibility in the implementation of the calculations. In addition to the method (GMM) can be used (Quasi - Maximum Likelihood Estimation (QMLE)) when (Random Error) is distributed (Independent and Identical Distribution (iid)) with Mean zero and variance (?_?^2(.Estimated which is obtained be biased and inconsistent so it was (Bias Correction) to estimator (QMLE), also called the method of estimation of these (The Direct Approach).It has also been used (The Transformation Approach) for the purpose of processing the Spatial before the estimate to reduce bias as much as possible.As one of the most important goals is to study the effect of( Spatial Dynamic Effect)) sense of how dependent variable coefficients change that represents the (financial allocations for the program of economic sectors of the regions development) Lagged in spatially and in time and represented by )W_n Y_(n,t - 1)(between the provinces as well as the impact study of by Lag spatial dependent variable )W_n Y_nt( for each province of the Iraqi provinces and at certain period of time. Add to describe the effects of explanatory variables (Exogenous Variables) any (of economic sectors of each province for a period of a certain time) represented (b agricultural sector, industrial sector, transport sector, buildings and services sector, education sector) level of each province for the period (2008 - 2015).In the case of the first model any presence influences the spatial fixed only the better way transfers the larger time periods (T), the estimators (? ?_nT) be consistent (Consistence) and possesses a good estimator convergent properties correct the bias is more effective and has a proximity naturally parameter characteristics (?). The second model in the case of any effects the presence of spatial and temporal fixed together, was also the best way transfers from the direct method the larger time periods (T).As in the case of the practical side show in the case of both models weakness autoregressive spatial coefficient of investment allocations it does not have any interaction between the provinces where positively affecting the distribution of assignments better and to meet the economic development of each province

بناء انموذجي بقاء معلمي ولا معلمي لمرض التدرن في بغداد

Author name: حسنين جليل نعمة الساعدي
Supervisor name: حامد سعد نور الشمرتي
Specific topic: Statistics
Degree: Master
Language: Arabic
University location: Baghdad
First pages:
Abstract: ان الفكرة الاساس للبحث بدات من محاولة ايجاد تطبيق للانموذج الاحصائي المعلمي واللامعلمي في دراسات البقاء والحدث الحرج ( الوفاة , شفاء ) للمصابين بمرض التدرن الرئوي وغير الرئوي والتي تتطلب اتخاذ قرارات تستند على اسس علمية , حيث تم اختيار الانموذج اللوجستي ا

التقديرات الحصينة للانحدار الضبابي == Robust Estimations For Fuzzy Regression

Author name: محمد جاسم محمد
Supervisor name: ظافر حسين رشيد النجار
Specific topic: Statistics
Degree: Doctorate
Language: Arabic
University location: Baghdad
First pages:

استعمال بعض الطرائق اللامعلمية في تقدير نموذج الانحدار الذاتي اللاخطي بوجود متغير خارجي مع تطبيق عملي == Using Some Nonparametric Methods For Estimation of Nonlinear Autoregressive Model With Exogenous Variables With Application

Author name: علي سلمان حبیب
Supervisor name: فراس احمد محمد
Specific topic: Statistics
Degree: Doctorate
Language: Arabic
University location: Baghdad
First pages:
Abstract: The analysis of the nonlinear time series, namely the Nonlinear Autoregressive with Exogenous Variable (NARX) model, is considered one of the complex problems.Correct order determination is very important to identify the model. Two different methods are proposed to determine the order for (NARX) model. The researcher also uses three different nonparametric methods to estimate nonlinear regression function of the model.The first proposed method to determine the order for (NARX) model was the Additive Splines Estimation to determine the correct order of the model. This method is based on Additive Property to treat the augmented ( Curse Dimensionality ) problem.The second proposed method was Cross - Validation approach leave one out, based on the kernel estimate of regression function which is directly based on data. Three different methods are used for model estimation. The first method is Smoothing Splines. The second is Artificial Neural Networks (ANN) ,and the third is the BRUTO algorithm which is an adaptive backfitting and uses Generalized Cross - Validation.For comparison purposes between the various estimation nonparametric methods and to find out the best fitting for the data, two Criterion are used : Mean Square Error (MSE) and Mean Absolute Proportional Error (MAPE), and select the best method which gives the best fitting of the data ; then applying the best method on the Electrical Loads and Temperature in Basra Governorate for the months (from May to October) in 2015. The researcher concluded that Additive Splines method play an effective role in order determination for the used model and the results show that the identified order is close to the correct order; and that the ANN is the best estimation for (NARX) model

مقارنة مقدرات بيز لدالة المعولية لانموذج ويبل للفشل باستعمال دوال خسارة مختلفة مع تطبيق عملي == A Comparison of Bayes Estimators For Reliability Function of Weibull Failure Model By Using Different Loss Functions With Practical Application

Author name: صبا صباح احمد الجميلي
Supervisor name: لميعة باقر جواد الجواد
Specific topic: Statistics
Degree: Doctorate
Language: Arabic
University location: Baghdad
First pages:
Abstract: Weibull failure model considered being one of the well known failure models because of its different applications in addition to its importance in the reliability field and life tests.This thesis focused on a comparison of standard Bayes estimators for reliability function of the two parameters Weibull distribution by usingsix different loss functions, three of them have been suggested by the researcher.And for that, the methodology of this thesis depended on the following methodologies : - First : - Theoretical study, the standard Bayesian estimations has been derivatives elaborately to reach the Bayes estimators forms for the reliability function of Weibull distribution by using symmetric and asymmetric loss functions which been explained elaborately, and these are quadratic loss function, logarithm loss function and precautionary loss function to reach to the standard Bayes estimators which called quadratic Bayes estimator (QB), logarithmic Bayes estimator (LB) and precautionary Bayes estimator (PB)) respectively. And those loss functions have been Modified by suggested three modified loss functions counterpart to the functions above to reach proposed estimators which called (modified quadratic Bayes estimator (MQB), modified logarithmic Bayes estimator (MLB) and modified precautionary Bayes estimator (MPB)) respectively.Second : - Experimental study by designing number of simulation experiments using various values of parameters and sample sizes, and with repetition of (10000) times for the comparison among the estimators and by using the mean square error (MSE) to reach efficient estimators with minimum variance. And a collection of real negative and positive values have been tried for the constant which is used in proposed loss functions to reach the best value may used in the comparison, and then a comparison between the six preference estimators is done to show which estimator is the most accurate to be used for estimation the reliability function of Weibull failure model, and best results have been obtained from those simulation experiments.The results of these experiments showed that the modified precautionary Bayes estimator (MPB) is the best for the reliability function of Weibull failure model than the other estimators which have been used in this thesis, and the second best method is the modified logarithmic Bayes estimator (MLB), and after that the precautionary Bayes estimator (PB) and then the modified quadratic Bayes estimator (MQB), also all proposed estimators are better than the logarithmic Bayesestimator (LB) and the quadratic Bayes estimator (QB) which results not to be shown in preferences.Also the results of these experiments show that every proposed estimator is better than its known counterpart.Third : - Application study by taking the best Bayesian estimator in the simulation experiments which is the proposed modified precautionary Bayes estimator (MPB) and applied practically on two experimental real data from WeatherFord company for oil well digging in the Bazergan area of Misan governorate which are represented by the time to failure of the operation of the drilling fluid pumps.From all above, the most important conclusions and recommendations have been offered from the results of this thesis as a specific contribution in the reliability field.

بناء منظومة خبيرة لتشخيص التقارب لبعض التوزيعات الاحتمالية المتقطعة == Design An Expert System To Determine The Approximation In Some of Probability Distribution

Author name: وليد مية رودين
Supervisor name: علي عبد الحسين الوكيل
Specific topic: Statistics
Degree: Master
Language: Arabic
University location: Baghdad
First pages:
Abstract: ان الاستخدام الكبير والمستمر للتوزيعات الاحتمالية جعل هذا الحقل المتخصص متميزا في علم الاحصاء حيث يدل على مجموعه من الاحتمالات المرتبطة بقيم متغير عشوائي ناتج عن نوع خاص من التجارب , فعلى سبيل المثال توزيع ثنائي الحدين فان قيم المتغير العشوائي المرتبط بت | The wide and continuous use for probability distribution made this specialized field distinctive in statistics science , that leads to a bunch of choices connected to values of random variable results from especial kind of experiments , as example binomial distribution the values of the random variable related to its experiments satisfies specific general conditions follows this distribution , when we study this distribution we can exclude expert on expectation related to all experiments that satisfies these general conditions according on what precedes it is suggested a(unit) instead of an statistics expert in searching field Depending of what precedes, we suggested a system instead of a statistical expert in the ( domain of determination of the approximation values ) between the probability distribution and determine the fit distribution of users data , The suggested system is an (statistical expert system ) , which have took its statistical knowledge from scientific resources and human experience to provide the needed consultation , which can be provided and any statistical expert (ITD) This system has a statistical knowledge base about , binomial distribution , and poisson and the relationship between a normal distribution , in addition to the statistical knowledge to determine the value that must the binomial approximate to the poisson , also the case is lead to approximated to the normal distribution.Also it has a statistical knowledge to calculate all distributions probabilities, in addition to all other measurements

المقارنة بين اختبار Shapiro - wilk وJureckova باستخدام المحاكات ولعدة توزيعات == Coodness - Of - Fit Test In Non Paramatric Tests

Author name: وفاء جاسم محمد العقابي
Supervisor name: دجلة ابراهيم مهدي العزاوي
Specific topic: Statistics
Degree: Master
Language: Arabic
University location: Baghdad
First pages:
Abstract: البحث يدرس عملية المقارنة بين اختبار (Shapiro - wilk) واختبار (Juareckova) قبل التوسيع وبعده. عندما اقترح Shapiro - wilk اختبار حسن المطابقة الحدسي( Nuisance location and Scaie Parameters ). ثم توسيعه الى حالة انحدار الازعاج المكاني ومعالم القياس (Nui | The research subject is the studying of the comparison between ( Shapiro - Wilk) and (Jurekov'a) test before and after the expansion , studying the effect of the sample size on the comparison, also the effect on test function distribution i.e.(diagnosing which tests asymptotic from the normal distribution ). Then applying the generating data which is simulated by several distributions which are normal distribution, Cauchy distribution, Laplace distribution, Logistic distribution, by changing the significance level ? by taking ( ? =0.01 ?= 0.05 ?= 0.1) The used assumption in this study is to study the matching between faults distribution and the distributions used in the study.

طرائق تقدير انموذج راش للبيانات المصنف متعددة القياسات مع تطبيق عملي == Methods of Estimating The Rasch Model For Multiple Categorical Data Measurements With Practical Application

Author name: وضاح صبري ابراهيم المناصير
Supervisor name: دجلة ابراهيم مهدي العزاوي
Specific topic: Statistics
Degree: Doctorate
Language: Arabic
University location: Baghdad
First pages:
Abstract: يعتبر انموذج راش (The Rasch model)، من اهم نماذج نظرية السمة الكامنة (Latent Trait Theory) للنظرية المعاصرة لقياس سلوك الفرد، المبني على البيانات المصنفة، وهو احد نماذج الاستجابة للفقرة الاحادية البعد، بمعنى ان درجة الفرد في الاختبار لا يجب ان تكون دالة ( | Rasch Model is considered as one of the important models in Latent Trait Theory for the contemporary Theory to measuring human behavior that depends on categorized data. It is one of the response models for one dimension point i.e., the mark of an individual within test mustn’t be regarded as an evaluation for other individual’s samples that are used within Item Calibration.Therefore, the thesis aims at comparing some methods for Rasch Model’s parameters for Categorical Data Measurement by using Mean Absolute Percentage Error (MAPE).The following methods are also used : The Joint function of Maximum Likelihood Estimation Method (JML), The Maximum Likelihood Estimation Method (MLE), Cohen’s Approximation Estimation Method (CAE), and Bayesian Estimation Method ( BEM ) and the first adjusted Bayesian Estimation Method ( BEMFS ) and the second adjusted Bayesian Estimation Method ( BEMSS ). The thesis includes a suggestion for a method to find the initial values of Rasch model’s parameters that are used in the previous mentioned methods and simulation is also used for overgeneralizing the results for the methods within various sizes levels, in which n : (n=10 , n=25 , n=75 , n=150 , n=300 , n=500 ) and ( n ) represents the individuals and (m) represents the number of the items ( m= 10 , m= 25 , m=35 , m= 45 ) and four different distributions are used ( Binomial , Poisson , Normal , Beta ). It is found that the best method for estimating the parameter of item difficulty (?_j), is The Joint function of Maximum Likelihood Estimation Method (JML) and the best method for estimating the parameter of individual’s ability (B_i), is the Bayesian Estimation Method of the Second Adjusted. Danial’s test for intelligence is used in AL - Mustansyria University, College of Administration and Economics, Fourth year, morning studies only and the number of students are (531). The main conclusions are : By comparing all the methods with the suggested ones to estimate Rasch model’s parameters , it is found that the best estimating for the parameter of individual’s ability (B_i), is the Bayesian Estimation Method of the Second Adjusted by depending on the smallest value for Mean Absolute Percentage Error (MAPE) and all the distributions are concrete and constant. It is found by comparing the methods to estimate the parameter of item difficulty (?_j) that the Joint function of Maximum Likelihood Estimation Method is the best for estimation , in which Mean Absolute Percentage Error (MAPE) is appeared with the smallest value and for all the concrete and constant distributions. It is found from the average of the correct answers of the testes that the tests items are within a closed level for each item and this gives the opportunity to students to answer the items. It is found from the average of the correct answers of the testes that the average of response is very good and it is between ( 0.47 - 0. 26 ) for more than 500 students from the total 531. This shows the similarity between students to have Danial’s test for intelligence. It is found from standards statistics ( T ) for the test items after comparing them with the tabled value for the natural distribution of the moral connotation ( a = 0.05 ) and the value ( 1.6449 ) that all the values without moral connotation and this confirms the acceptance of the test’s items to apply it on students’ sample which has different levels of difficulty but still parallel.

مقارنة طرائق تقدير المعلمات والمعولية لانماذج الاختبارات المعجلة والنمو لبيانات المراقبة من النوع الثاني مع تطبيق عملي

Author name: ورود باسم نور بهية
Supervisor name: انتصار عريبي فدعم الدوري
Specific topic: Statistics
Degree: Master
Language: Arabic
University location: Baghdad
First pages:
Abstract: نظرا لاهمية المعولية في التطبيقات الصناعية والهندسية فقد ظهرت الحاجة لاختبارات المعولية والتي هي سلسلة من الاختبارات والكشف عن العوامل التي تظهر خلال الاختبار وتاثيرات ومسببات عطل الماكنة نتيجة سوء الاستخدام وغيرها من الاسبباب وكذلك معرفة مدى ملائمة الان | Reliability has an important role in both the industrial and engineering applications. So the need for Reliability Tests appeared are series of tests a discover out of factors that appear through the test, also an effects too casese to defuse, probably to be created cases misuse a machine and other than, knowledge limit of fit a specifics production addition for getting on goodness of production. Therefore, the need for research to set of tests for censor data from ( Type II ) for exponential distribution with one parameter and these tests it’s (Accelerated Life Testing) to complete estimation parameters and reliability for the test models and these models it’s (Accelerated Cycling, Constant Stress ,Arrhenius and Eyring ) with tow methods ( maximum likelihood method, least squares method ) for all models above ,either Number of Units on Test To be complete calculation number of units inside in the test. And the other test is Reliability Growth includes three curves are Idealized Growth curve estimation parameters and reliability with maximum likelihood method, Duane Growth curve takes estimation parameters and reliability with least squares method, Exponential Reliability Growth Curve take estimation parameters and reliability by means of constraints for finding an optimal solution. Also The thesis so falls into four chapters. the first chapter is the introduction, the objective of the thesis as well as the review of literature. the second chapter tackles theoretical aspects contains exponential distribution,properties exponential distribution, estimation method, acceptance testing, accelerated life test, reliability growth testing and confidence intervals. The third chapter(application side)include tow parts,the first takes censor data (type II) from source (separate the soap off Al - Rasheed factory) and subjugate it for goodness of fit tests to be complete application on accelerated and growth tests, the second takes the simulation experimental and compared between estimation parameters for tests accelerated and growth for all models the test by depending on the statistic measure (MSE). Finally, the fourth chapter contains the more important findings and recommendations as well as the future visions which the thesis included. Also the thesis contains computer programs prepared by the researcher as well as another especial attaches.

طرائق تقدير معلمات الانموذج المختلط الخطي الطبيعي الملتوي في حالة القياسات المكررة مع تطبيق عملي == Method of Estimating Parameters of The Skew - Normal Linear Mixed Model In The Case of Repeated Measures With Practical Application

Author name: هند وليد عبد الرحمن الجبوري
Supervisor name: محمود مهدي حسن البياتي
Specific topic: Statistics
Degree: Doctorate
Language: Arabic
University location: Baghdad
First pages:
Abstract: تم في هذا البحث دراسة احد اهم النماذج الواسعة الاستعمال والتطبيق في تحليل البيانات التي تتصف بكون المشاهدات فيها تاخذ شكل قياسات مكررة Repeated Measures والذي يعد تعميم للانموذج المختلط الخطي (LMM) في حالة عدم تحقق الطبيعية Normality، وهو الانموذج المختل | In this research, the one of the most important widely used and application model was studied in analysis the data which are described by the observations take repeated measures form, which regarded as generalization of Linear Mixed Model (LMM) in the case of the lack normality, it is the Skew - Normal Linear Mixed Model (SN - LMM), which widely used to analysis the longitudinal data that characterized by the observations take repeated measures form and correlated among of them, this model express of these correlations by the random effect, it also achieved normality through the assumption that the data are distributed multivariate skew normal distribution.Also the research is concerned with the multivariate skew distribution generally and multivariate skew normal distribution specially with addressing the importance and used of these distributions, then dealing with the Skew - Normal Linear Mixed Model (SN - LMM) from its importance, used, properties, modeling, and parameters estimation methods Three important method are used for estimation the fixed effect parameters, random effect parameters and skewness parameters, in addition a proposed method by researcher, these methods are : 1) Maximum likelihood (ML) Method.2) Restricted Maximum Likelihood (RML) Method.3) Bayes Method.4) Proposed Method.A comparison among the best of these methods is made in the application aspect which contained the practical application on two clinical experiment including two samples of diabetic patients data, Who were given a new drug, the data of two samples are represent the repeated monthly measures for the level of sugar and some other variables which are taken for patient from the beginning of the experiment, after three months , and after six months from start to give them the new drug, in aim to study the effect of age and sex, which represented the fixed effect, also the visits times, that the repeated monthly measures are taken in these visits for the sugar level and other variables which represented the random effect, the comparison among the best method are held by using statistical standard the Mean Square Error (MSE), it was found in general that the proposed method is the best to estimate the fixed effects because of its lower mean square error compared to other methods, and the Bayes method is the best among these method to estimate the random effect and random errors because of its lower mean square error compared to other methods.

مقارنة طرائق تقدير معلمات الانـموذج الثنائي اللوجستك المختلط باستخدام المحاكاة مع تطبيق عملي == Comparing The Estimation Methods of The Parameters of The Logistic Linear Mixed Model By Using The Simulation With Practical Application

Author name: هند وليد عبد الرحمن الجبوري
Supervisor name: ظافر حسين رشيد النجار
Specific topic: Statistics
Degree: Master
Language: Arabic
University location: Baghdad
First pages:
Abstract: تم في هذا البحث دراسة احد اهم النماذج الواسعة الاستخدام والتطبيق في تحليل البيانات التي تاخذ شكل تجمعات Clustered والتي تكون ذات استجابات مرتبطة Correlated وهو الانموذج الخطي العام المختلطGeneralized Linear Mixed Model (GLMM) لتحليل البيانات الطولية Long | This research was conserning in the study of one of the important models that are widely used in analyzing the data which take clustered form and have correlated responses, this model is Generalized Linear Mixed Model (GLMM) for analyzing the longitudinal data which it's responses are correlated. So this research was dealing with this model in an expanded form including its importance, uses, feature, modeling and the estimation methods then focusing on one of the most widely used examples when the responses of longitudinal Data are Binary which is Binary Logistic Mixed Model taking into account its modeling, importance, uses and the parameters estimation methods, so three important estimation methods were used to estimate the fixed and random effects parameters and these are : 1) Classical maximum likelihood (ML) Method.That include three basic algorithm by which the maximum likelihood estimator is obtained and it's as follows : I) Monte Carlo Newton Raphson (MCNR).II) Monte Carlo Expectation Maximization (MCEM).III) Simulation Maximum Likelihood (SML).2) Robust Maximum Likelihood (RML) Method.3) Penalized - Quasi Likelihood (PQL) Method.In the experimental aspect comparison was done of which is the best among these methods through the simulation procedure by using Monte Carlo method and implementing several experiments using two of the important statistical measures which are Mean Square Error (MSE) and Bias, generally as a result it was found that Robust Maximum Likelihood (RML) Method is the best between these methods as it has minimum Mean square error and minimum bias comparing with the other methods.While in the application aspect practical application was done on data represent the successive monthly measurements for diebetic children whom depend on the insulin treatment which represent the fixed effect and the patient represents the random effect in order to study the effect of both the insulin dose and the patient on the blood sugar rate, it was found that the insulin dose has significant effect on the blood sugar rate while the patient has not that effect

تقديرات الهجرة الداخلية في العراق باستخدام النماذج السكانية == Internal Migration Estimates In Iraq By Using Population Models

Author name: هالة وليد حمدي الزبيدي
Supervisor name: بشرى علي يعقوب الجعفري | خالد زهدي مصطفى خواجه
Specific topic: Statistics
Degree: Master
Language: Arabic
University location: Baghdad
First pages:
Abstract: ادى تزايد حركة السكان في العراق الى حصول هجرة داخلية.و لاهمية هذه المشكلة وما ترتب عليها من نتائج، لذا فقد حاولت الباحثة من خلال هذه الدراسة تحليل البيانات التي لها علاقة في نماذج حركة الهجرة الداخلية.وتهدف الى استنباط تيارات الهجرة الداخلية في القطر،وذ | Population Increasing movements in Iraq cause an internal migration. In spite of danger of this problem and what effects of it, so the researcher has tried through this study analysis the data, which relation in internal migration on models. Aiming at internal migration streams in country by using special population models of internal migration by direct and indirect methods. First chapter including general entrance displays general concepts and determines the problem and the purpose of the research and its importance and the background. The second chapter is measuring internal migration in Iraq and discusses the methods of the measure, the principal data references for migration, population distribution, the internal migration data in Iraqi census, the problem and difficulty of migration, the method of measuring internal migration from the census data is discussed by direct methods like Birth place, Duration of residence, The last residence and The reason of changing the residence place. The indirect methods like Vital statistics, The Survival ratio and National growth rate. The third chapter discusses the study of migration rates and ratios in Iraq and the demographic trace and divided into direct method like migration stream rates and in - migration, out - migration, net - migration rates and Birth - residence index, Gross intercensal interchange of population and Basic model. Indirect method like migration rates by using Survival ratio rates method, Vital statistics rates method, National growth rates method, and discuss the mathematical model and its relationship to internal migration, migration economic, demographic traces and migration effect on population growth. And the impetuses to internal migrations movement. The forth chapter discuss some important conclusions and recommendations.

تقدير الفعالية النسبية لانموذج القطع المكافئ في تجارب نسبة الميل لقياس تاثير زيتي الزعتر والكتان على الوزن == Estimation of Relative Potency For Parabolic Model In Slope Ratio Assays To Measure Effect of Thyme And Flax Oils On Weight

Author name: نضال بهجت محي الحيالي
Supervisor name: قيس سبع خماس
Specific topic: Statistics
Degree: Master
Language: Arabic
University location: Baghdad
First pages:
Abstract: يتناول البحث تقدير الفعالية النسبية (Relative Potency) لزيت الزعتر(الاختباري) نسبة الى الكتان (القياسي) لانموذج غيرخطي (parabolic model) باستعمال طريقة احصائية تكرارية وهي : (طريقة البحث الخطي) ودراسة تاثيرالتكرار عند الجرعة صفر فقط لمعرفة مدى الابتعاد عن | This study deals with the problem of estimation the relative potency of thymus oil and linum oil , for parabolic model by using the : line search method , and we study the effect of replication at zero dose and near zero dose on the type of relationship whether is linear or not , we partition the thesis into five chapters , the first included the introduction and the aim of this research work and historical review, the second chapter included the theoretical part where we stated the relative potency estimation method for nonlinear model, the third chapter went through the experiential part of this research work, the four chapter went through the practical part of this research work, finally chapter five went through the conclusions and recommendations of this research work, we conclude that the potency of thymus oil is (0.115) times the linum oil according to the parabolic model

تحليل وقياس اتجاهات الفقر في العراق للمدة 1980 - 2005

Author name: ندوة هلال جودة
Supervisor name: نبيل جعفر عبد الرضا المرسومي
Specific topic: Statistics
Degree: Doctorate
Language: Arabic
University location: Baghdad
First pages:
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