خط مشی دسترسیدرباره ما
ثبت نامثبت نام
راهنماراهنما
فارسی
ورودورود
صفحه اصلیصفحه اصلی
جستجوی مدارک
تمام متن
منابع دیجیتالی
رکورد قبلیرکورد بعدی
Document Type : Latin Dissertation
Language of Document : English
Record Number : 151505
Doc. No : ET23297
Main Entry : Zhenwu Chen
Title Proper : TRIMMED AND WINSORIZED M- AND ESTIMATORS, WITH APPLICATIONS TO ROBUST ESTUTION IN NEURAL NETWORK MODELS
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : Wmmed and Winsonzed M- aad Z-estimators are introduced as new a pproaches toward robust estimation. The consistency, convergence rate of n-i,and asymptotic normality of the estimators are established. It is shown thatmany robust estimators can be derived From the framework of trimmed andWinsonzed M- and estimators and thus be treated in a unified way. Theapproach also sheds light on the search for new robust estimators, especiallyin complicated models. Examples of some well-known robust estimators arediscussed and some new robust estimators are derived. Application to robustestimation in neural network models is also dimmed.....-....,....-...,..tested for theQ1 PC1 bus cardBoth these projects mere sofixare des elopment efforts tonards contributing to dlfferentaspects of Roboucs and lZ1echatronics projects m the Controls and Roboucs Group..
Subject : Electericl tess
: برق
electronic file name : TL46534.pdf
Title and statement of responsibility and : TRIMMED AND WINSORIZED M- AND ESTIMATORS, WITH APPLICATIONS TO ROBUST ESTUTION IN NEURAL NETWORK MODELS [Thesis]
 
 
 
(در صورت عدم وضوح تصویر اینجا را کلیک نمایید)