First pages:

تحليل البيانات الثنائية لدراسة العوامل المؤثرة في حدوث التشوهات الولادية في مستشفى البصرة للنسائية والاطفال == Analysis of Binary Data : A Study of Factors Affecting Birthdefects In Basrah Hospital For Maternity & Children

Author name: ساهر حسين زين الثعلبي

Supervisor name: زهرة حسن عباس التميمي | عبد الكريم حسين صبر الجاروري

General topic: Administration and Economics

Specific topic: Statistics

Degree: Master

University: University Of Basrah - Faculty Of Administration And Economics

Language: Arabic

University location: Basrah

First pages:

Abstract: Basrah can be considered as a city that has been suffering form pollution more than any other city in the world of today. This is due to the successive wars it has undergone, the waste of the petroleum, gas, and petrochemical factories leave behind as well as the electric power generating firms this city contains. Furthermore, the location of Basrah by the sea has made the city liable to have epidemics, diseases, and birth defect. The phenomenon of distorted births is but the focus of this thesis.The researcher draws the attention of those undertaking direct or indirect responsibility so as to arrive at appropriate basic solutions. This study is an attempt at pinpointing the factors that directly or indirectly lead to the distorted births in Iraq in general, and in the city of Basrah in particular. Statistics is in order. The hypothesis of this study is that radiation may be the most serious cause of birth distortion. To verify this very hypothesis, the city of Basrah is chosen as the population and The Basrah Hospital for Maternity and children as the sample that covers the files or reports of the new - born babies during the period January - April, 2007. This sample is called " sample A". This is on the one hand. On the other hand, a special form is developed by the researcher and it is this form that forms "Sample B".Since the data collected is of a binary or dichotomous type, it is concerned with whether there is some birth distortion or not. That is why the dependable variable is referred to by 1 or 0 respectively. This type of variable is often indicated to by responding with ither "Yes", if there birth distortion; or "No" hen there is no birth distortion in medicine research. Statistically speaking, the SPSS ready - made program has been applied to data. This program has been used in social sciences and medicine research with high accuracy. The present research worker has applied a logistic model or pattern so as to study the factors that influence the occurrence of birth distortion. Among the results arrived at by the researcher is the residence of the parents Thisresult confirms the hypothesis that states that the regions exposed to the uranium radiation plays an important role in spreading birth distortion. Relatives have also proved to be influential and this is what is referred to as the hereditary or genetics variable. Finally, Rh factor is very effective in this respect. For this reason, the researcher supports all the calls for the authorities of both the public and private sectors at regional national and international levels urging them to do all they can to save the society catastrophic errors

طرائـــق بيــز فــي تحليــل نمــوذج القياس الاقتصادي المكاني مع تطبيق عملي == Bayes Methods In Analyzing Spatial Econometrics Model With Practical Application

Author name: سامي غني خضير عطره

Supervisor name: خالد ضاري عباس الطائي

General topic: Administration and Economics

Specific topic: Statistics

Degree: Doctorate

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

Language: Arabic

University location: Baghdad

First pages:

Abstract: ان الخاصية الاساسية لتمييز البيانات المكانية عن بيانات السلاسل الزمنية هي الترتيب المكاني للمشاهدات , وعينات البيانات المكانية تمثل مشاهدات ترتبط بنقاط او مواقع وتتميز هذه البيانات بان ارتباطها يضعف كلما بعدت المسافة وكذلك تتميز بتدرج المكان (( المناطقية | The main property to differentiate the spatial data from time series data is the spatial arrangement of observations and the samples of spatial data represent observations related to points or locations these data are distinguished with the weakness of their connection each time the distance getting far away and the place graduation (location)on the spatial relations of observations are represented in matrix named spatial weights matrix. The spatial econometrics is used in following up the spatial effects like the spatial dependence of observations in different points of place, and spatial heterogeneity arising from relations or parameters model that change with sample data in each time we move within the place , those two points have been neglected in traditional econometrics because of their sinconsistency of statistical assumptions and when taking those spatial effects into consideration ,the statistical influence will be of high efficiency. On the contrary, ignoring these effects will lead to loss the information and will not be as efficient as the dependant sample.Because of the difficulty of deriving the posterior function (on which the Bayesian inference depends) up on applying the Bayesian methods especially in cases that the number of probable models is very large as computing the posterior functions for all these samples requires integration for large dimensions functions which is very difficult Mathematically or inapplicable that requires proper methods can deal with such cases like Gibbs and Metropolis - Hastings sampling by analyzing the posterior distribution to number of conditional distributions for each parameter in the model and then the simplicity of inference for each parameter in the model.The matrix of spatial weights is built by registering the contiguity relations for each location with others in a matrix row (w?) and given (1) if there is a relation between two locations (wij=1) and zero, if it doesn’t (wij=0)as i and j refer to the rows and columns in sequence. For making the summation of each row in the matrix w? equal to 1 , the elements of matrix will be calculated according to the proportion : wij/ ?wij and i=1,2…,n j=1 Consequently, we will get the adjusted matrix W.The practical side was focused on the counting of spatial autoregressive model parameters, and these parameters is the vector ? and it is an ordinary regression parameters vector, and error variance parameter (?2) , and the most important of them is a countig of the parameter (?) which is represent spatial dependance parameter.In order to show the role of the spatial, the practical side included taking the real population for childrens between(1 - 19) year, that had iron deficiency anemia (due to from iron deficiency) that admitted to children’s hospitals in Kurkh district of Baghdad (which had been divided into five geographic regions) for 2010. We have suggested that computing the elements in the adjusted matrix to be on basis of the actual length proportion of the joint borders among different locations that lead to get the accurate estimated value of spatial dependence parameter، where value result of spatial dependence parameter (?) was (0.43) when use Metropolis - Hastings sampling method while value of this parameter when use spatial outoregressive function and by using the adjusted matrix was( 0.57) and value of this parameter when use the same regression function but by using the suggested matrix was (0.85).

مقدرات بيز لدالة المعولية الضبابية للتوزيع الاسي باستخدام المحاكاة مع تطبيقها على الشركة العامة للصناعات الكهربائية == The Fuzzy Reliability Function Bayes Estimators For Exponential Distribution Using The Simulation With It Is Application On The State Company For Elictrical Industeries

Author name: زينة ياوز عبد القادر اوجي

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:

Abstract: يدرس البحث الضبابية والتي مفهومها ان كل قيمة تقع ضمن فترة معينة،ونعتمد في تحديد حدود هذه الفترة على الخبرات السابقة حول موضوع الظاهرة المدروسة.وفي بعض الاحيان يصعب تحديد هذه الفترة ونتعامل مع القيمة الضبابية وما حولها من القيم القريبة دون الاعتماد على ا | This paper concerned with studying the fuzzy which means that each value is within specific period and to determinate the limits of this period depends on previous expertises about the studies phenomena subject.Some times it is difficult to determine this stage or period ,in this case we deal with the fuzzy values and other proximate ones without depending on previous expertises ,because they are not available or because of te differences in points of researches,view about the determination of minimum and maxmum restriction for there values.Through this research we will treat fuzzy lifetime data that each value does not have minimum and maximum limitation which enable us to appoint the sutable belonging degrees but all lifetime data have minimum restriction which represent the begininning life time , and maximum one that represents the end of lifetime And by using membership function of Ching to determing a membership function for those data , This paper discussed two procedures to estimate the fuzzy reliability ,Bayes procedure that includes the following : 1 - Sample data are fuzzy and the prior distribution for parameter includes an unfuzzy parameter.2 - Sample data are unfuzzy and the prior distribution for parameter includes an unfuzzy parameter. 3 - Sample data are fuzzy and the prior distribution for parameter includes a fuzzy parameter. 4 - Sample data are unfuzzy and the prior distribution for parameter includes an unfuzzy parameter And FRDP (Fuzzy Reliability Definition Procedure) that uses component trapezium method,to find numerical integration ,by using the Exponential distribution form for sample data,and Gama distribution for the prier distribution for the parameter of Exponential distribution ,and four value for sample size.And depending on the results that have been conducted in the experimental side ,it is shown that bayes is the best in estimating the fuzzy reliability when the fuzzy sample data have membership degree equal to 0.1for samples of small sizes. When the failure times average value is bigger than one ,so Bayes is the best in estimating the fuzzy reliability for small samples sizes,and FRDP is the best in estimating the fuzzy reliability for sizes of big samples The data which have been taken from the state company for electrical industries of foundation machine Toshiba are used as well after bayes method and FRDP method are applied to estimate the fuzzy reliability,it is noticed that results of both the applied and experimental side are th

Author name: خليل برهان الدين فرمان السعدي

Supervisor name: صباح منفي رضا الشمري

General topic: Administration and Economics

Specific topic: Statistics

Degree: Master

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

Language: Arabic

University location: Baghdad

First pages:

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

Author name: خلود يوسف خمو يوسف

Supervisor name: ظافر حسين رشيد النجار

General topic: Administration and Economics

Specific topic: Statistics

Degree: Doctorate

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

Language: Arabic

University location: Baghdad

First pages:

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

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

Author name: خضر نصيف جاسم البياتي

Supervisor name: عبد المجيد حمزة الناصر

General topic: Administration and Economics

Specific topic: Statistics

Degree: Doctorate

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

Language: Arabic

University location: Baghdad

First pages:

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

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

Author name: حيدر رائد طالب

Supervisor name: قيـس سبع خماس

General topic: Administration and Economics

Specific topic: Statistics

Degree: Master

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

Language: Arabic

University location: Baghdad

First pages:

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

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

Author name: حنين مراد يوسف الصالحي

Supervisor name: سجى محمد حسين الهاشمي

General topic: Administration and Economics

Specific topic: Statistics

Degree: Master

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

Language: Arabic

University location: Baghdad

First pages:

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

Author name: حنان سعيد مالك الراوي

Supervisor name: رفعت لازم مشعل الخميسي | عدنان شهاب حمد

General topic: Administration and Economics

Specific topic: Statistics

Degree: Master

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

Language: Arabic

University location: Baghdad

First pages:

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

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

Author name: حلا كاظم عبيد

Supervisor name: سجى محمد حسين الهاشمي

General topic: Administration and Economics

Specific topic: Statistics

Degree: Doctorate

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

Language: Arabic

University location: Baghdad

First pages:

Abstract: البيانات العنقودية تظهر في الكثير من العلوم الاجتماعية والصحية والسلوكية. وتتميز هذا النوع من البيانات بوجود الارتباط بين مشاهداتها. وممكن التعبير عن العنقدة من حيث العلاقة بين القياسات على الوحدات ضمن نفس المجموعة فان النماذج الاحصائية تحتم على حساب الار | Cluster data appears in a lot of social, health and behavioral sciences. And featuring this type of data link between the presences of her observations. And possible expression of clustering in terms of the relationship between measurements on units within the same group, the statistical models makes it imperative for the link account at every level, because failure to do so leads to misleading results. Hence the importance inside the Observations link to the estimating of the function non parametric for cluster data where the use of parametric method for ICON is always desirable to estimate some functions Because of the shape of the data is unknown in advance the appropriate function or as a result of the existence of some obstacles so it is the use non parametric method to estimate (smoothing) Nonparametric function.. Research has shown developed in recent times on the use of non parametric regression when parametric the assumptions are unfulfilled. And non parametric regression allows greater flexibility of functions dependent variables resulting from the data. Previous research has touched on the case of cluster data estimating the ways non parametric and semi parametric methods and was adopted state of neglect of the link within the same cluster property data that distinguish cluster data is particularly. And local kernel estimator achieved more efficient negligently correlation within clusters (even if the correlation is in the interest the study). While some touched on the case taking correlation between Observations per cluster using the estimated equations. Others had created the kernel methods in the case of cluster data behave completely different from the behavior of the capabilities of the spline estimator as has achieved kernel methods results more efficient when the neglect of the link within the clusters, while spline methods results achieved less variance of smoothing fixed parameters at taking the link inside clusters into account in the estimation process.So in this thesis will be nonparametric function estimating for clustered data using the Seemingly Unrelated Kernel Estimators, and The Generalized Least Squares Smoothing Spline Estimators and propose Robust methods and comparison of the methods listed above to indicate the best estimate of the nonparametric function estimating for clustered data, taking into account the structure of the link within the clusters were cluster data, The adoption of cluster data, which has the same number of explanatory variables within each cluster. To achieve this, thesis was divided into five chapters, the first chapter included introduction and aim of the research and reference review, either Chapter II now include the theoretical side which discussed the methods used to calculate the non parametric function of cluster data in the presence of the link. While included Chapter III experimental side (simulation) and the application addressed method in the second chapter and the statement of the best way has less (MAE) or (MSE). and either the fourth chapter includes the applied side to the real data for the proportion of white blood cells and its impact on the proportion of blood per patient (cluster) and Chapter V which includes the most important conclusions and the recommendations.it is through simulation experiments have been finding the best way to estimate the non parametric function for cluster data and a way The robust Generalized Least Squares Smoothing Spline Estimators in the case of a correlation. It was the application of all methods of the practical side using real data about the proportion of white blood cells and their impact on the proportion of blood hemoglobin for patients with blood cancer (leukemia).