مقارنة مقدر المنوال الحصين مع بعض المقدرات الاخرى ولمعلمة الموقع == Comparing The Robust Estimator of The Mode With Some Other Estimators For Location Parameter
Author name:
نازك جعفر صادق
Supervisor name:
عماد حازم عبودي
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:
07T4105 - p.pdf
Abstract:
The robust estimators are these estimators which resist all cases of data contamination by outlier values which are suitable to a wide sector of distribution. The present values deals with searching for the best estimator for location because this topic is important for the high frequency cases of contamination. Hence it is important to use robust ways in choosing the best robust estimator which being affected by outlier values. The aim of this study is to choose the estimator which is most immune to asymmetric distributions and to any rate of contamination. It also aims at studying the function of such an estimator through simulation experiments which take many cases into consideration.The study falls into four chapters. The first chapter is an introductory one which includes the introduction, the aim and a historical servey for certain general concepts which have close relation to the topic understudy. The second chapter deals with the median and robust estimation which include median estimator and other location estimators and the criterion used in the present study. As for the third chapter, it includes the experimental side of the study. Finally, the fourth chapter, it deals with the conclusions and recommendations which the study comes up with.Some of the important which researcher has come up with are that has been able to find a most robust estimator after comparing it with a group of estimators. This estimator is the Robust Parameter Estimator (RPM). It can be considered much better than many available robust estimators.
