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تشخيص وتقدير دالة الانحدار اللامعلمي للبيانات المزدوجة في حالة عدم تحقق بعض فرضياته == The Diagnosis And The Estimation of The Nonparametric Regression Function of The Panal Data In Case Some of Its Hypotheses Are Not Verified

اسم المؤلف: دريد حسين بدر
اسم المشرف: ظافر حسين رشيد النجار
الموضوع العام: الادارة والاقتصاد
السنة: 2016
الموضوع الدقيق: الاحصاء
الدرجة: دكتوراه
الجامعة: جامعة بغداد
اللغة: العربية
مكان الجامعة: بغداد
الصفحات الاولى:
المستخلص: اكتسبت نماذج البيانات المزدوجة اهتماما بالغا وخاصة في الدراسات الاقتصادية والطبية والمالية لانها تاخذ في الاعتبار اثر التغير في الزمن وكذلك اثر التغير في المشاهدات المقطعية على حد سواء في بيانات عينة الدراسة، فضلا عن وصف البيانات من خلال تقدير الانموذج ا | Panel data models have gained a great importance especially in economic, medical, epidemic and financial studies. Because these models take into consideration the impact of the change in time, the impact of the change in sectional views alike inherent in data of a study sample, in addition to describing data through Estimation of the appropriate model. In this thesis, we address the use of method of nonparametric regression in diagnosing and Estimation a model of panel data , as there are specific assumptions related to vector of random errors are not verified. This is because we are going to talk about a nonparametric problem and existence of Heteroscedasiticity and Auto correlated errors which make the process of Estimation wrong, or sometimes not possible. A model has been diagnosed through disclosing all of the problem of Heteroscedasiticity through the use of test (1996) (Zheng) and the problem of Auto correlation by suing test (2013) (Su and Lu). It has been indicated through handling a Nonparametric Hausman Test that the final model adequate for research data is Nonparametric Panel Data Model with Random Effects. Thus, finding Nonparametric Estimator has been tackled through dealing with each problem individually alongside with addressing methods of choosing the smoothing Bandwidth of the model of Random Effects. In case of correlated errors for all techniques of Nonparametric Regression, there are methods to deal with this problem, however all of the said depends critically on addressing estimation methods reliant on finding the choice of an optimal smoothing Bandwidth using more accurate standard until the removal of error process to attain an edited smoothing Bandwidth , of any correlation, is achieved. Then, we could Estimation a model by using Estimation methods. In case of Heteroscedastisity, treatment could be achieved through determining weight by Kernel Estimator, then to be used for the exclusion of the effects of Heteroscedasticity in the study variables through using estimation methods and provision of proposals for classic Nonparametric methods. The formulation of simulated experiments of used models and verification of performance of traditional and proposed methods, for all sample sizes and three levels of standard deviation trough the use of (RAMSE) standard, have been carried out in this thesis. One of the most significant objectives of this study is the selection of the best Estimation method produced by simulation through applying it on a group of balanced Panel Data (longitudinal). This could be conducted through carrying out a practical application to state the effect of the role of gross domestic product on fixed market prices measured in a US Dollar (x) in the state budget measured in millions US Dollars (y) for the period (2003 - 2015). This could be approached through depending on genuine data related to general budget for the Arab States measured by millions US Dollars. The gross domestic product has been focused on since it is the most important economic variable that impacts the budget, as an explanatory variable according to the viewpoint of the competent people for the period (2003 - 2015). The main conclusion in the experimental side is a clear preference in absolute terms to the fortified proposal of Least Square Support Vector Machine for Regression by using an (MGCV) standard on other used Estimation methods. This is in case existence of Auto Correlation as well as provision of a verified proposal for Propose (LCNE), relying on a Span, a selection standard, on other used Estimation methods in case existence of Hetroscedasticity, of all sample sizes, all cases and three levels of three standard deviation. As to practical side, an appropriate model has been diagnosed. Also, compatibility of the best method has been proven in the experimental side alongside with practical one, and the most appropriate for a model by using (RAMSE) standard

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

اسم المؤلف: حلا كاظم عبيد
اسم المشرف: سجى محمد حسين الهاشمي
الموضوع العام: الادارة والاقتصاد
السنة: 2016
الموضوع الدقيق: الاحصاء
الدرجة: دكتوراه
الجامعة: جامعة بغداد
اللغة: العربية
مكان الجامعة: بغداد
الصفحات الاولى:
المستخلص: 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).

مقارنة بعض المقدرات البيزية الحصينة مع مقدرات اخرى لانموذج GARCH(1.1) مع تطبيق عملي == A Comparing of Some Robust Bayesian Estimators With Another Estimators For Garch (1.1) With Practical Application

اسم المؤلف: جنان عبد الله عنبر
اسم المشرف: نزار مصطفى جواد الصراف
الموضوع العام: الادارة والاقتصاد
السنة: 2016
الموضوع الدقيق: الاحصاء
الدرجة: دكتوراه
الجامعة: جامعة بغداد
اللغة: العربية
مكان الجامعة: بغداد
الصفحات الاولى:
المستخلص: تعاني بعض السلاسل الزمنية من التقلبات او عدم الثبات في التباين مثل السلاسل المالية والاقتصادية والبيئية وغيرها, وقد يرافق ذلك وجود التلويث او القيم الشاذة في تلك السلاسل والذي يرافق عملية جمع البيانات في اغلب الاحيان ولاسباب عديدة قد يؤثر ذلك بشكل كبير عل | Some of time series suffer from volatility or instability in variation, such as financial , economic , environmental and other time seriesIt was accompanied by the presence of contamination or stray values in those chains that accompanies the data collection process often for many reasons, which greatly affect the estimation models parameters and thus makes the estimated models parameters and thus makes the estimated models are inaccurate and affect the future in the forecasting process this makes the process of estimation the traditional methods is not accurate and not feasible in practice and that is what led many researchers to find alternative methods of estimating for those methods reduce the impact of contamination and the volatility in the process of estimating the time series models,, including autoregressive conditional heteroscadestic models family (ARCH and GARCH). So the goal came thesis complement the work of researchers as thesis aims to find robust Bayesian estimators to the estimate first order generalized autoregressive conditional heteroscadestic model GARCH (1.1) when errors followed normal distribution, and that by proposing three robust Bayesian methods to estimate a method (y ?BM.Bayes) and method (BM.Bayes) and the reduced method (BM.Bayes Shrinkag). As was the use of certain methods of estimation models (GARCH), such as (MLE) traditional method of estimation and the method of (Bayes) and three robust bounded methods a (BM.Huber) and two methods by the proposed (BM.Hample) and (BM.Tukey). The use of simulation in the style of the experimental side for a comparison between the methods adopted in research using polluting ratios (0% 0.1% 0.10% 0.15% 0.20%) and volumes of samples (500, 1000.1500), In addition to the use of different values of the parameters it is found favorable proposed method (BM.Bayes) be when the values of the two parameters (?1, ?) close to each other when any correlation strength is high , Simulations were also on the values of the parameters of the real series that have been estimated in a manner program application (MLE) and some of them were far from any values that weak correlation strength , It turns out that the best method was the proposed (BM.Bayes.Shrinkag). In the practical side it has been stated in the application of the theoretical side of the building stages of the model and testing of those stages on a series of (1254) Show prices daily sales of Basrah, for the period (2 \ 1 \ 2008 - 31 \ 12 \ 2012) through the application of the proposed third method (the reduced method) (BM.Bayes Shrink) which was best when applied to the estimated values of the parameters in a manner (MLE) in the experimental side as it made less (MSE) and estimate the appropriate model GARCH (1,1) proposed the adoption of the reduced way (BM.Bayes.Shrinkag).

تقدير معلمات انموذج المعادلات الهيكلية المتضمن متغيرات الوساطة مع تطبيق عملي == Estimation of Structural Equations Model Parameters With Practical Application

اسم المؤلف: بشرى سعد جاسم
اسم المشرف: غفران اسماعيل كمال
الموضوع العام: الادارة والاقتصاد
السنة: 2016
الموضوع الدقيق: الاحصاء
الدرجة: ماجستير
الجامعة: جامعة بغداد
اللغة: العربية
مكان الجامعة: بغداد
الصفحات الاولى:
المستخلص: يستعمل تحليل الانحدار مع المتغيرات المصنفة الى صنفين صنف يمثل متغيرات مستقلة (Independent variables) واخر يمثل متغيرات تابعة (Dependent variables), فلذلك يقوم تحليل الانحدار بدراسة العلاقة بين المتغيرات المستقلة والمتغيرات التابعة, الا ان هذا التحليل يعمل | regression analysis use with classified variables into two class that represents the independent variables (Independent variables) and the other is a subsidiary variables (Dependent variables), for there the regression analysis study the relationship between independent and Dependent variables, but , this analysis works to know only the direct impact between the variables for this reason i use the structural equation Model (SEM) to identify and know the variables that are of indirect effects by estimating and testing parameters by set of methods (steps causal method, bootstrap method, method of multiplying the transaction ( parameters) product of coefficients, difference in coefficientsstructural equation model like other models are a matching variables tested with the phenomenon studied , test the compatibility of the variables that make up a structural equation model, and to achieve this condition, use Confirmatory Factor Analysis (CFA) way to see match variables that compose it. After confirming the conformity of the model or suitability experimenting and having the effect of mediating variable in the model and mediation are two types : Single mediation where transmission of the influence of the independent variable to the dependent variable through the mediation of a single variable, and multiple mediation where is transition Effect independent variable x to the variable y through several mediation variables. the practical side of study include the effect of cultural stat of the man (X) in the use of violence against women (Y) through a series of mediation M_1variables represent (women's empowerment) and M_2represents (family planning) and the study data are taken from the integrated survey of social and health state for Iraqi women (I - WISH) for the year 2011 in the Ministry of planning - Central Statistics organazation, and this data applied conditions of adequate to structural equation model SEM and, and then estimate the parameters mediating variables and test their ability to move the indirect effect by the methods mentioned above using a program.AMOS V.23The researcher concluded that a moral mediation variables tested when using standard errors formulas for (Sobel and Goodman and Aroian) and compensated for in the test version of z all results be close itself in the other the researcher contrast were recommendations of the research is to use a single version of the standard errors formats (Sobel and Goodman and Aroian) to test the effect of mediating variables in the model, as the researcher found that the independent variable X (cultural condition of the man) affects the Y variable (violence against women) indirectly through mediation M_2variable (family) organization.

التنبؤ باستعمال نماذج الانحدار الذاتي العامة المشروطة بعدم تجانس التباين (GARCH) الموسمية مع تطبيق عملي == Forecasting The Use of Generalized Autoregressive Conditional Heteroscedastic Models (GARCH) Seasonality With Practical Application

اسم المؤلف: بريدة برهان كاظم
اسم المشرف: فارس طاھر حسن الكواز
الموضوع العام: الادارة والاقتصاد
السنة: 2016
الموضوع الدقيق: الاحصاء
الدرجة: ماجستير
الجامعة: جامعة بغداد
اللغة: العربية
مكان الجامعة: بغداد
الصفحات الاولى:
المستخلص: مما لا شك فيه، تحظى نماذج GARCH) ) بالفاعلية والشعبية الكبيرة في نمذجة البيانات الاقتصادية والمالية، اذ تسمح للتباين المشروط بالتغير عبر الزمن، مما يجعلها اكثر واقعية في المجال الاقتصادي. وتتوفر ميزة اخرى مهمة في عالم الاقتصاد، ممثلة بالموسمية، الت | Un doubtedly , The GARCH model is very popular and effectiveness in economic and financial data , since it allows the conditional variance to vary over time , which makes them more realistic for the economic world. And there is another important characteristic in the economic world , Represented seasonality , that exist in high frequency data such as daily series , it can be seen in the real data of the exchange rate IQD/USD , Because there are seasonal conditional heteroscedasticity clearly shows in this data , Thereby are dealt with this type of data using Multiplicative seasonal generalized autoregressive conditional heteroscedastic models , Because it is proven effective to express their seasonal phenomenon on the contrary GARCH models which do not contain seasonal vehicle. hence the aim of the research reaching a better model represents the seasonal data with proof of the effectiveness of the seasonal model in preference to the usual model. it has been used to detect seasonal presence in the data first , after that was diagnosed a problem of heteroscedasticity passing through the phase estimation using the conditional maximum likelihood and assuming normal distribution of errors , then determine the appropriate rank of the model using a number of special criterian Represented each of the Akaike Information Criterion (AIC), Schwartz Information Criterion (SIC) , Hannan Quinn Information Criterion (H - Q), down to the stage to predict , using two method to predict the first is the prediction in the sample , which objective was to infer the efficiency of the preferred model and the second way forecasting out of sample any prediction of future values.it is found through the application on the study data stages that the best model for predicting volatility is SGARCH (1,0)(1,0).

تقدير نماذج مختلطة للبيانات المصنفة مع التطبيق العملي == Estimation Mixed Models Using Catacorical Data With Application

اسم المؤلف: ايناس عبد الحافظ محمد
اسم المشرف: خالد ضاري عباس الطائي
الموضوع العام: الادارة والاقتصاد
السنة: 2016
الموضوع الدقيق: الاحصاء
الدرجة: دكتوراه
الجامعة: جامعة بغداد
اللغة: العربية
مكان الجامعة: بغداد
الصفحات الاولى:
المستخلص: يعتمد مفهوم التوزيعات المختلطة ( المركبة) في تطوير نماذج مناسبة للبيانات المصنفة , وقد تم في هذا البحث ايجاد بعض الانماذج الاحتمالية الملائمة لهذه البيانات ومن ثم العمل على تقدير معلمات هذه الانماذج.وبعد تشخيص اوتحديد نوعي التوزيعات وهما (التوزيع المركب | The concept of mixed distributions depends (composite) in the development of appropriate data seed models, has been in this research finding some models appropriate probability of this data and then work to estimate the parameters of this models. After diagnosis Aothdid two types of distributions, namely (compound beta - Bainomal (Beta - distribution Binomial) and the distribution of Ganerlized logarithmic Series distribution (GLSD)) has been working to estimate the parameters of these distributions methods usual such as way as possible (MLE) and the method of moments (Moment) and the method of Chi - square (Chi - squar) and methods of unconventional such as search cuckoo algorithm Hawwarzmih simulated annealing. The theoretical side included the concept of vehicle models and how to configure form by probabilistic normal function and methods different appreciation such as method Maximum Likelihood Function (MLE) and the method of moments (Mom) and a method to minimize Chi - square (Minimum) and methods of artificial intelligence techniques such as search cuckoo algorithm (Cock Search) algorithm simulated annealing (Simuannling) has been presented simulation has been adopted in the comparison between the estimation methods and we had simulated experiments at different volumes of samples( n= 20, 50, 100,250). And repeat each experiment R = 1000 to achieve the goal and were compared using statistical measurements (MSE, AMPE) found that the best method (cuck) which is proposed by the researcher. The researcher numbers Bernamjeh (Matlab, R2005 B) and put all the results in the tables either the practical side and having briefed researcher at data rates of disability and for the period of (2007 - 2010) obtained through the health center for the disabled has been the comparison between Models through criterion (AIC) the standard bayes Information (BIC) and the standard G2) the researcher found that the capabilities of the search cuckoo algorithm is better than during the experimental side, therefore this algorithm applied to real data to complement the tests of good matching, which enabled Khalalhl the researcher presented the practical application of the private tables results. It was found through statistical analysis that in the year (2011) has a lower standard Akaki for the distribution of the compound compared with the distribution chain logarithmic year, which indicates that it has the best modelFrom the conclusions that have been reached by using way (GIBS) in the simulation of mixed distribution and the method of rejection and acceptance (Reject, Accept) for distribution Genaralized logarithim Series is that the capabilities of the specimen landmarks using the best in terms possess the lowest average error boxes in sizes small samples search cuckoo algorithm is medium and large The rest of the roads were estimates varying values. It has been presented the recommendations that emerged from the thesis as well as future research

مقارنة بين اختبار (Gold feld Quandt) الحصين مع اختبارات اخرى للكشف عن عدم تجانس التباين بوجود القيم الشاذة == A Comparison of The Test (Gold Feld Quandt) Modified With Other Tests To Detection The Presence of Heterogeneity of Variance of Outliers Values

اسم المؤلف: ايلاف بهاء علوان
اسم المشرف: محمود مهدي حسن البياتي
الموضوع العام: الادارة والاقتصاد
السنة: 2016
الموضوع الدقيق: الاحصاء
الدرجة: ماجستير
الجامعة: جامعة بغداد
اللغة: العربية
مكان الجامعة: بغداد
الصفحات الاولى:
المستخلص: ان مشكلة عدم تجانس التباينات في حالة وجود القيم الشاذة لها جانبان الاول : هو كيفية تعامل الاختبارات مع مشكلة عدم تجانس التباينات في حالة وجود القيم الشاذة بالنسبة لانموذج الانحدار الخطي المتعدد حيث نلاحظ ان الاختبارات الاعتيادية (الكلاسيكية ) تعاني من مشا | The problem heterogeneity in the case of the presence of outlier values has two important sides. The first is how to handle the test, which have the problem of lack of heterogeneity in the case of outlier values for the multivariate linear regression model where we notice that the usual tests (the classical) have the problems in the results, and the results obtained will be inaccurate and misleading. Therefore, these will be unreliable results, so it is necessary to use other tests to substitute the regular tests, they will work in the same way of normal teste in the absence of the problem of heterogeneity and they are called robust tests. These tests are Modified GoldfieldQuant, Modified Bayes, and Modified levene. Different percentages of data were cut which are (10% , 25% , 40%) assuming normal distribution of data. A comparison was made of the mentioned tests by using soft ware power of the test of Monte Carlo Simalation then detect the best test by force standard where Bayes robust was the best test for detecting the problem of heterogeneity in the presence of outlier valuesand gave reliable results. In the second side, Box plot was used for the detection of outlier values in real data. As for the practical side, data from the agriculture and cultivation of planning and follow - up / meteorological center were collected and used in this study on the four variables for the year 2013 - 2014 and the variables are : Raining rate (y).Air pressure (x_1).Temperature rate (x_2).Humidity rate (x_3).

الطرائق البيزية والتقليدية في تقدير معلمات بعض نماذج بواسون غير المتجانسة مع تطبيق عملي : بحث مقارن == Bayesian And Ordinary Methods For Estimating Parameters of Some Non - Homogeneous Poisson Models With Practical Application Comparative Research

اسم المؤلف: ايات صادق جعفر
اسم المشرف: ايمان حسن احمد
الموضوع العام: الادارة والاقتصاد
السنة: 2016
الموضوع الدقيق: الاحصاء
الدرجة: ماجستير
الجامعة: جامعة بغداد
اللغة: العربية
مكان الجامعة: بغداد
الصفحات الاولى:
المستخلص: تعد عمليات بواسون غير المتجانسة احدى الموضوعات الاحصائية التي اصبح لها اهمية في جميع العلوم ولها تطبيقات واسعة في مختلف المجالات كنظرية صفوف الانتظار والانظمة القابلة للاصلاح وانظمة الحاسوب والاتصالات ونظرية المعولية وغيرها، كما تستعمل عمليات بواسون غير | The Non - Homogeneous Poisson process considered one of the statistical subjects which had an importance in other sciences and had a large application in different areas as the theory of waiting raws rectifiable systems, computer and communication systems and the theory of reliability and many other, also it used in modeling the phenomenon that occurred by unfixed way over time (all events that changed by time).This thesis deals with some of the basic concepts that are related to the Non - Homogeneous Poisson process, also this research mentioned two models of the Non - Homogeneous Poisson process which are the power law model , and Musa - okumto , also many different methods have been used in the estimating the parameters of the model , of which the classic methods would be used , maximum likelihood method and moment meethod to estimate the parameters of power law and Musa - Okumoto model , in addition to that the use of Bayesian method in the estimation of the parameters of the two models which are used in this research , in order to find the best way in the estimation , we referring to simulation manner in which we tested four size of samples ( 25, 50 , 75, 100) to illustrate the effect of changes in samples volume on parameters estimation , and for the sake of making a comparison between the used methods in estimation depend on the mean square error , and according to this results the maximum likelihood method is found to be the best and efficient way in estimation in which it gave the less mean square error, in addition to the models parameters by using this method was very close from the initial value that have been assumed to theparameters while the Bayesian method comes secondly in estimation Also this thesis included practical application dealing with the phenomena of earthquakes in Kirkuk province of which the time average was estimated by using maximum likelihood method and the Bayesian.

تقدير معولية الانظمة باستعمال مقدرات بيز اللامعلمية وشبه المعلمية مع تطبيق عملي == System’s Reliability Using Nonparametric And Semi Parametric Bayesian Estimators With Practical Application

اسم المؤلف: اسيل محمود شاكر السهيل
اسم المشرف: قتيبة نبيل نايف القزاز
الموضوع العام: الادارة والاقتصاد
السنة: 2016
الموضوع الدقيق: الاحصاء
الدرجة: دكتوراه
الجامعة: جامعة بغداد
اللغة: العربية
مكان الجامعة: بغداد
الصفحات الاولى:
المستخلص: تعتبر المعولية اداة لتقييم الاداء الوظيفي لاي منتج خلال فترة حياته وتعتمد على ظروف عمل ووقت وبيئة محددة وهي من المستلزمات الاساسية في العملية الانتاجية، وتنبع الاهمية الكبيرة للمعولية كونها تلائم اغلب التطبيقات العملية والمتمثلة بالمعدات والاجهزة العا | The reliability as tool to estimate the work performance of any product during its life cycle, it depends on restricted conditions of work and the time and environment of work, also it considers as essential requirement in the production, the most significant important of reliability represented of being fit for the most of practical applications such as equipment and invalid devices which can fix and get maintenance in case it stopped of work then return it to work again. These devices and equipment consider as correlation between a group of parts or components to form what it is called “system” , there are any kinds of systems classified according to the way that components are connected such as k - out of - n which is ready to work if at least one of k components is working, and “Series system” which is ready to work if all of its components are working , also there is another kind of system its work just in case one of its components is working and this called “Parallel System”. Therefore , the aim of thesis focuses on estimating the reliability of systems (k - out of - n, series and parallel system ) by nonparametric and semi parametric methods using Dirichlet process prior and compare it with reliability of system values by classical methods which is represented by Kernel estimator method , Kaplan - meier estimator method and product limit estimator method to illustrate the quality using statistical indicator Integral Mean Square Error (IMSE) , in additional modified methods. So the simulation procedures to create using different sizes of samples , then applying the best method for Series system on the real data which collected in Al - Mamon factory which belong to general company for plant oil production - Aluminum department the results showed that the reliability function values start decreasing with increasing time in relation to the estimated nonparametric and semi parametric , this means that machines has many invalid because the more invalid in machines cusses to decreasing it reliability

طرائق تقدير دالة المخاطرة لتوزيع Quasi Lindely : بحث مقارن مع تطبيق عملي == Comparison of Some Methods For Estimation of Hazard Function of Distribution Quasi Lindley With Application

اسم المؤلف: احمد علوان صالح
اسم المشرف: صباح هادي عبود الجاسم
الموضوع العام: الادارة والاقتصاد
السنة: 2016
الموضوع الدقيق: الاحصاء
الدرجة: ماجستير
الجامعة: جامعة بغداد
اللغة: العربية
مكان الجامعة: بغداد
الصفحات الاولى:
المستخلص: ان البحوث المتعلقة بامراض الاطفال ومنها امراض الدم تكتسب اهمية بالغة لما تسببه هذه الامراض من زيادة في نسب الوفيات بين الاطفال مما يؤثر سلبا في نمو المجتمعات لان هذه الامراض تستهدف قاعدتها الاساسية والمتمثلة بالطفولة. من المعلوم ان التوزيعات الاحتمالية | The researches on the diseases, including children and the blood diseases is of paramount importance to what caused these diseases from an increase in mortality rates among children, which negatively affects the growth of the communities, because these diseases targeted base of basic and childhood.It is known that the probability distributions is the statistical tool that deal with times of life for patients with diseases that cause of death, and that the issue of determining the statistical distribution of the most flexible in the good compatibility with the data on life times of of people affect the accuracy of the results and specifically estimates for both parameters or a Hazard function , which provides hospital and its staff of doctors, nurses, research centers , important evidence in the medical analysis of these diseases in order to develop methods of treatment and related drugs and medical devices to other medical supplies.In this research was study the of blood leukemia disease problem in the children what caused the disease in the increase in the number of deaths for children with this disease.In this research , review the distribution of properties (Quasi Lindely - QL - ) for the proper matching the practical side data and estimate a risk function using five methods to estimate Maximum Likelihood Method , method of moments, method of L - moment Method of Percentiles Estimators and Standard Bayes Method using Squared Error Loss Function and Logarithmic Loss Function and joint prior distribution noninformative prior using (Jeffrey's formula) also used the method of Lindley Approximation to solving integrals resulting from the use Bayes way to estimate the Hazard function for this distribution.In order to find the best methods of judgment for the purpose of use in the practical side in this research were employed style simulation way (Monte Carlo) and using the Mean squared error (MSE) and the Integral. Mean square Error (IMSE) in order to compare the efficiency of the estimators to function risk was reached through implementation of simulation experiments that Bayes estimator to a Hazard function of distribution (QL) using a logarithmic function loss is the most efficient for small and medium volumes of samples while Maximum Likelihood Method and Method of Percentiles Estimators are better for large samples and at the same efficiency.Finally, in the practical side was used a sample size of data (n = 42) of the children of the deceased because of the disease leukemia blood have been employed estimator Bayes using to estimate the Hazard function loss logarithmic function to these patients. The results showed that the Hazard function of death among children in Iraq function values because of this disease are higher values than necessary health institution looks at this phenomenon and develop sophisticated prevention and treatment and to provide various medical supplies to minimize the seriousness of this disease, which leads to the depletion of human and financial resources, which negatively affects the process of progress of society as well as scientific methods should health institutions raise community awareness of the reasons this the disease for the purpose of avoiding these reasons and by employing various media, particularly newsletters that you know the reasons of the disease and treatment modalities.

المقدر اللبي في تصميم لوحة السيطرة (هوتلنكT2) للمشاهدات المنفردة مع تطبيق عملي == Kernel Estimator For Design Hotelling T2 Control Chart For Individual Observations With Practical Application

اسم المؤلف: رسول هادي عبد المنعم
اسم المشرف: حمزة اسماعيل شاهين
الموضوع العام: الادارة والاقتصاد
السنة: 2016
الموضوع الدقيق: الاحصاء
الدرجة: ماجستير
الجامعة: الجامعة المستنصرية
اللغة: العربية
مكان الجامعة: بغداد
الصفحات الاولى:

بعض طرائق تقدير انموذج الانحدار اللوجستي المشروط في حالة البيانات الطولية وتطبيقها في التلوث البيئي

اسم المؤلف: يوسف خليل عيسى
اسم المشرف: انتصار عريبي فدعم الدوري
الموضوع العام: الادارة والاقتصاد
السنة: 2016
الموضوع الدقيق: الاحصاء
الدرجة: ماجستير
الجامعة: جامعة بغداد
اللغة: العربية
مكان الجامعة: بغداد
الصفحات الاولى:
المستخلص: غالبا ما يعتمد الانحدار اللوجستي الشرطي لدراسة العلاقة بين نتائج حدث ما وعوامل تشخيصية محددة من اجل تطبيق الانحدار اللوجستي والاستفادة من قدراته التنبؤية في الدراسات البيئية. اذ تهدف هذه الرسالة الى اثبات اسلوبا جديدا لتطبيق الانحدار اللوجستي الشرطي في البحوث البيئية من خلال طرائق الاستدلال المبنية على البيانات الطولية. وذلك لانه مع الاستجابات المتقطعة هناك تبعية لا تتجزا للتغير في المتوسط. وبذلك يتطلب التحليل الاحصائي للبيانات الطولية الاساليب التي يمكن ان تراعي بشكل سليم للترابط داخل الموضوعات لقياسات الاستجابة. اذا تم تجاهل هذا الارتباط فان استدلالات مثل الاختبارات الاحصائية وفترات الثقة يمكن ان تكون غير صالحة الى حد كبير. ولتقدير انموذج الانحدار اللوجستي الشرطي لغرض تحليل التلوث البيئي الناتج عن تصفية النفط في المصافي كدالة لانتاج النفط والعوامل البيئية تم استعمال طريقة معادلة التقدير المعممة (GEE) Generalized Estimating Equation في صياغة طرائق الاستدلال، التي من شانها تسهل تقدير انموذج الانحدار اللوجستي الشرطي بالاستفادة من الارتباطات الفعلية بين الاستجابات في البيانات، وكذلك بنية الارتباط المحددة من خلال مقدرات الشطيرة الحصينة (RSE) robust sandwich estimators ، فضلا عن تطبيق العديد من معايير اختيار الانموذج المختلفة. ثم تقييم اداء كلا من نماذج الانحدار اللوجستي الشرطية عندما تكون التاثيرات ثابتة ومختلطة مع تحليل بيانات التلوث وفق طريقة الامكان الاعظم Maximum Likelihood Estimator (MLE). اما في الجانب التطبيقي فقد تم الحصول على بيانات التلوث البيئي من شركة مصافي الوسط في العراق والتي تمثل مجموعة من الملوثات البيئية الطولية وهي الجسيمات العالقة (PM2.5) Particulate matter، وكبريتيد الهيدروجين (H2S) Hydrogen sulfide، واكاسيد النيتروجين (NOx) Nitrogen oxides، والامونيا (NH3) Ammonia، وغاز اول اوكسيد الكاربون (CO) Carbon monoxide، وثاني اوكسيد الكاربون (CO2) Carbon dioxide، والاوزون (O3) The Ozone، ومن خلال تطبيق كلا الطريقتين GEE وMLE لتقدير النماذج المختلطة والثابتة تم اثبات انه باستعمال انموذج الانحدار اللوجستي الشرطي هو اسلوب تقييم حصين للدراسات البيئية، فمن المهم ان نلاحظ انه في محاولة لاختبار مدى حصانة هذا الاسلوب، مع بيانات التلوث في مجموعة بيانات واحدة تستعمل في بناء او اكتشاف علاقة تنبؤية هي مستويات التلوث العالية المتمثلة في النظام البيئي C3)) تنتهك فرضية استقلالية البدائل غير ذات صلة (IIA) Independence of Irrelevant Alternatives ومن ثم قد لا ينطبق على افتراض الحالة الطبيعية. وبالنتيجة فان انموذج الانحدار اللوجستي الشرطي مختلط التاثيرات يكون اكثر دقة لدراسات التلوث، لانه من المحتمل ان تولد نماذج الانحدار اللوجستي الشرطية استنتاجات غير دقيقة مع التاثيرات الثابتة فقط. هذا لان انموذج الانحدار اللوجستي الشرطي مع كلا من التاثيرات الثابتة والعشوائية يقدم افكارا تفصيلية على المجموعات (العناقيد) التي تم تجاهلها الى حد كبير من قبل انموذج الانحدار اللوجستي الشرطي ثابت التاثيرات | Conditional logistic regression is often used to study the relationship between event outcomes and specific prognostic factors in order to application of logistic regression and utilizing its predictive capabilities into environmental studies. This thesis seeks to demonstrate a novel approach of implementing conditional logistic regression in environmental research through inference methods predicated on longitudinal data. Because with discrete responses there integral dependency for change in the mean. Thus, statistical analysis of longitudinal data requires methods that can properly take into account the interdependence within - subjects for the response measurements. If this correlation ignored then inferences such as statistical tests and confidence intervals can be invalid largely. For estimating the conditional regression model for the analysis of environmental pollution resulting from the oil filter in refineries as a function of oil production and environmental factors using the generalized estimating equation (GEE) method in the formulation of inference methods that facilitate the conditional logistic regression model taking advantage of the actual correlations between responses in the data, as well as the specific correlation structure through robust sandwich estimators (RSE) as well as application many of various model selection criteria. We then evaluate the performance of both fixed - effects and mixed - effects conditional logistic regression models with the pollution data analysis according to the maximum likelihood method (MLE). Either in the applied side has been getting the data of environmental pollution from Midland Refineries Company in Iraq are represents a group of environmental pollutants longitudinal is Particulate matter (PM2.5), Hydrogen sulfide (H2S), Nitrogen oxides (NOx), Ammonia( NH3), Carbon monoxide (CO), Carbon dioxide (CO2), The Ozone (O3) and by applying both the GEE and MLE methods to estimate a fixed and mixed models was prove that use the conditional logistic regression model is a robust evaluation method for environmental studies, it is important to note that in an effort to test the robustness of this method, with the pollution data in one set data used to construct or discover a predictive relationship is high pollution levels of the ecosystem (environmental system C3) violates the Independence of Irrelevant Alternatives (IIA) hypothesis and therefore the normality assumption may not apply. Therefore, the mixed - effects conditional logistic regression model is more accurate for pollution studies, because the conditional logistic regression models with fixed - effects only potentially generating flawed conclusions. This is because the conditional logistic regression model with random and fixed - effects provides detailed insights on groups (clusters) that were largely overlooked by fixed - effects conditional logistic regression model
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