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المقدرات الحصينة لدالة المعولية لبعض التوزيعات المركبة مع تطبيق عملي == The robust estimators of reliability function for some compound distribution with practical application

Author name: ورود باسم نور بهية
Supervisor name: انتصار عريبي فدعم الدوري
Specific topic: Statistics
Degree: Doctorate
Language: Arabic
University location: Baghdad
First pages:

مقدرات معدلة لمعلمات نموذج (TQR) باستعمال الاسلوب البيزي الهرمي مع تطبيق عملي == Modified Estimators for parameters in TQR Model by using Hierarchical Bayesian method With practical Application

Author name: هيثم حسون ماجد
Supervisor name: محمود مهدي حسن
Specific topic: Statistics
Degree: Doctorate
Language: Arabic
University location: Baghdad
First pages:

استعمال بعض الطرائق المعلمية واللامعلمية لتحليل التجارب العاملية مع تطبيق عملي == The Use of Some Parametric and Non Parametric Methods For Analysis Of Factorial Experiments With Application

Author name: هديل عماد ناصر
Supervisor name: كمال علوان خلف المشهداني
Specific topic: Statistics
Degree: Master
Language: Arabic
University location: Baghdad
First pages:

تحديد اكثر العوامل تاثيرا على الوضع الاجتماعي والصحي لكبار السن في دور رعاية المسنين == Identify the most important factors affecting the social and health status of older persons in nursing homes

Author name: هدى سلمان محسن
Supervisor name: لمياء محمد علي
Specific topic: Statistics
Degree: Higher Diploma
Language: Arabic
University location: Baghdad
First pages:

مقارنة المقدرات اللامعلمية في تحليل الانحدار المتعدد مع تطبيق عملي == Comparison of Nonparametric Estimates in Multiple regression analysis with practical application

Author name: ميسم عبد النبي عبد الحسن
Supervisor name: لقاء علي محمد
Specific topic: Statistics
Degree: Master
Language: Arabic
University location: Baghdad
First pages:

استعمال بعض طرائق متعدد المتغيرات في التحليل الصوري مع تطبيق عملي == Using Some of Multivariate Methods for Image Analysis with Application

Author name: محمد عبد الودود محمد
Supervisor name: اسماء غالب الراوي
Specific topic: Statistics
Language: Arabic
University location: Baghdad
First pages:

تـقـدير معلمات انموذج الانحدار الذاتي بوجود المتغيرات المتلازمة في حالة توزيع الخطا توزيعا لوجستيا عاما == Estimating parameters of the autoregressive model with the associated variables in the case of the distribution error by a general logistic distribution

Author name: محمد عبد الرضا رحمن
Supervisor name: احمد ذياب احمد العزاوي
Specific topic: Statistics
Degree: Master
Language: Arabic
University location: Baghdad
First pages:

بناء نموذج GARCH متعدد المتغيرات مع تطبيق عملي == Build a Multivariate GARCH Model with practical application

Author name: لمياء طه عبد الله
Supervisor name: فارس طاهر حسن
Specific topic: Statistics
Degree: Doctorate
Language: Arabic
University location: Baghdad
First pages:

بعض التقديرات المويجية لانموذج الانحدار الخطي باخطاء تتبع انموذج ARFIMA مع تطبيق عملي == Some wavelet estimators of linear regression model that have ARFIMA model errorswith practical application

Author name: عمار مؤيد صابر الاطرقجي
Supervisor name: باسم شليـبه مسلم القيسي
Specific topic: Statistics
Degree: Master
Language: Arabic
University location: Baghdad
First pages:

مقارنة بين طرائق التقدير الحصينة لانموذج الانحدار الذاتي بوجود متغير خارجي ARX مع تطبيق عملي == Comparison of Robust Estimation Methods For Autoregressive with Exogenous Variable Model (ARX) with Practical Application

Author name: زينب حامد حميد
Supervisor name: زينب حامد حميد
Specific topic: Statistics
Degree: Master
Language: Arabic
University location: Baghdad
First pages:

استعمال الطرق البيزية والامكان الاعظم في تقدير بعض نماذج متعددة المستويات مع تطبيق عملي == The Use of Bayesian and Maximum Likelihood Methods in Estimating of Multi - level Models With a Practical Application

Author name: رند رياض بهنام يوسف
Supervisor name: ايمان حسن احمد
Specific topic: Statistics
Degree: Master
Language: Arabic
University location: Baghdad
First pages:

تقدير المعلمات العشوائية في نماذج الانحدار للبيانات المزدوجة مع تطبيق عملي == Estimation Of Random Coefficients In Regression Model For Panel Data With Application

Author name: رحاب كاظم حمزة المفرجي
Supervisor name: محمد صادق الدوري
Specific topic: Statistics
Degree: Doctorate
Language: Arabic
University location: Baghdad
First pages:

استعمال التحليل المتناظر المتعدد للمتغيرات المصنفة المرتبة مع تطبيق عملي == Using Multiple Correspondence Analysis for Ordered Categorical Variables with Application

Author name: رائـد فاضـل محمـد
Supervisor name: دجلة ابراهيم العزاوي
Specific topic: Statistics
Degree: Master
Language: Arabic
University location: Baghdad
First pages:

استعمال طريقة التقدير المشذب الحصين في نموذج الانحدار مع تطبيق عملي == Using Methods of Robust Trimmed Estimator in Regression Model with Application

Author name: خالد جمال كاظم
Supervisor name: عمر عبد المحسن علي
Specific topic: Statistics
Degree: Master
Language: Arabic
University location: Baghdad
First pages:

تقدير الحجم الجزئي للسكان باستخدام طريقة (NSUM) == Estimating Sub - Population Size Using the Network Scale Up Method NSU

Author name: حسين حميد خلف
Supervisor name: قتيبة نبيل نايف
Specific topic: Statistics
Degree: Master
Language: Arabic
University location: Baghdad
First pages:

تقدير انموذج الانحدار اللاخطي باستعمال الخوارزمية الجينية وخوارزمية سرب الطيور مع تطبيق عملي == Estimation of the Nonlinear Regression Model using the Genetic algorithm and Particle Swarm Optimization algorithm with practical application

Author name: جاسم حسن لازم
Supervisor name: صباح منفي رضا
Specific topic: Statistics
Degree: Doctorate
Language: Arabic
University location: Baghdad
First pages:

مقارنة طريقتي Turnbull وBeran’s اللامعلمية مع طرائق اخرى في تقدير دالة البقاء مع تطبيق عملي == A COMPARISON of the non - parametric Turnbull and Beran’s with other methods in estimating survival function with practical application

Author name: امل هادي رشيد الكرخي
Supervisor name: علي عبد الحسين الوكيل
Specific topic: Statistics
Degree: Master
Language: Arabic
University location: Baghdad
First pages:

مقارنة طرائق تقدير معلمات انموذج انحدار ثنائي الحدين السالب في ظل وجود مشكلة التعدد الخطي مع تطبيق عملي

Author name: ايناس صلاح الدين خورشيد
Specific topic: Statistics
Degree: Master
University location: Baghdad

مقارنة طرائق تقدير معلمات انموذج انحدار بواسون الهرمي الجزئي مع تطبيق عملي

Author name: ايثار حسين جواد
Specific topic: Statistics
Degree: Master
University location: Baghdad

استخدام التحليل الاحصائي في دراسة الاحوال المعيشية للنازحين في العراق == The Use of Statistical Analysis in Study of Living Conditions for the Displaced in Iraq

Author name: براء عباس عودة
Supervisor name: اسماء غالب جابر
Specific topic: Statistics
Degree: Higher Diploma
Language: Arabic
University location: Baghdad
First pages:

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.
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