مقارنة بين طريقتي SIMEX وLLS لتقدير دالة الانحدار اللامعلمية باستخدام المحاكاة == Comparison Between SIMEX & LLS Methods To Estimation Nonparametric Regression Function Using Simulation
Author name:
اسراء سعدون علوان
Supervisor name:
دجلة ابراهيم مهدي العزاوي | نذير عباس 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:
07T3403 - p.pdf
Abstract:
لقد كان من ثمار الانتشار الكبير للحاسوب الالكتروني ولا سيما في العقدين الاخيرين شيوع استخدام الاساليب البيانية في المجالات شتى, ويستعرض هذا البحث اسلوب بياني في التقدير الاحصائي يدعى بتقديرSIMEX باستخدام اسلوب kernel.وتعنــي SIMEX (Simulation - Extrapol | One of the products of large using of computers specially in the last two century is the large using of graphic method in every field, this study consider one of the graphic method in statistical estimation called SIMEX (Simulation - Extrapolation) by using kernel method.With any regression model, three steps then fine the SIMEX estimator : (a) select a finite set of ?’s such as ?={0,0.5,1.0,1.5,2.0} and compute ;(b)fined the average ;(c)extrapolate this estimator back to ?= - 1 ,resulting ,using simulation we compare between SIMEX and LLS (Local linear smoother).And from the simulation’s results we found that the best method is SIMEX when (n<60) specially with Epanchnicov function.
