مقدرات الامكان الاعظم الموزونة الحصينة ومقارنتها مع طرائق اخرى لانموذج اللوجستك مع تطبيق عملي == Robust Weighted Maximum Likelihood Estimates And Their Comparsion With Other Methods of Logistic Model With Practical Application
Author name:
شرين علي حسين
Supervisor name:
نزار مصطفى جواد الصراف
General topic:
Administration and Economics
Specific topic:
Statistics
Degree:
Master
University:
University of Baghdad - Faculty Of Administration And Economics - Department Of Statistics
Language:
Arabic
University location:
Baghdad
First pages:
07T3774 - p.pdf
Abstract:
ان معظم الدراسات في موضوع انموذج انحدار اللوجستك تاخذ طابعا اكثر تقدما في عملية التحليل الاحصائي الدقيق الذي يهدف الى الحصول على مقدرات ذات مستوى عال من الكفاءة. وتاتي اهمية الحاجة الى تطبيق الطرائق الحصينة عندما تكون بيانات الظاهرة المدروسة ملوثة , | In most of studies about the logistic regression model take in it's nature more progness in the procedure of acurate statistical analysis which aim getting estimators of a high level of efficiency , and importance of it's necessity to applicate of the robust methods, appears when the data of the studied phenomenon are contaminated , it means some of the observations vareit clearly from other observations called outliers which may produce estimators untrustworthy and so the decision will be false about the problem that we are trying to study it.From this point was the goal of this research in reaching robust estimators to estimate parameters of binary response logistic regression model through study some of theis estimators (method (WMLE) , method( M ) and method (Lp) ) and that by supposing three levels of contamination (0%,10%,30%). Also we use simulation in this study to compete between methods of studied estimator for all levels of the contaminated studies.In this thesis the researcher concluded the success of the method (WMLE (w1)) in estimate parameters of binary response logistic regression model, in comparsion with studied estimate methods by depending on statistical measures : Bias, Mean Square Error for parameters and model.Also the researcher specified a chapter for applying and using method WMLE (w1) on real data of angina pectoris patients which taking from Ibn - al - Nafees hospital for the purpose of estimate parameters of binary logistic regression model.
