Title : ( Bootstrap testing fuzzy hypotheses and observations on fuzzy statistic )
Authors: Mohammad Ghasem Akbari , Abdolhamid Rezaei Roknabadi ,
Full TextAbstract
The bootstrap is a simple and straightforward method for calculating approximated biases, standard deviations, confidence intervals, testing statistical hypotheses, and so forth, in almost any nonparametric estimation problem. A new approach for bootstrap testing fuzzy hypotheses based on fuzzy test statistic is introduced. In this paper we describe bootstrap method that is designed directly for hypothesis testing for fuzzy data based on Yao–Wu signed distance.
Keywords
Fuzzy canonical number Yao–Wu signed distance Fuzzy data Fuzzy hypotheses Fuzzy confidence Testing hypotheses Bootstrap method
@article{paperid:1020057,
author = {Mohammad Ghasem Akbari and Rezaei Roknabadi, Abdolhamid},
title = {Bootstrap testing fuzzy hypotheses and observations on fuzzy statistic},
journal = {Expert Systems with Applications},
year = {2010},
volume = {37},
number = {1},
month = {February},
issn = {0957-4174},
pages = {5782--5787},
numpages = {5},
keywords = {Fuzzy canonical number
Yao–Wu signed distance
Fuzzy data
Fuzzy hypotheses
Fuzzy confidence
Testing hypotheses
Bootstrap method},
}
%0 Journal Article
%T Bootstrap testing fuzzy hypotheses and observations on fuzzy statistic
%A Mohammad Ghasem Akbari
%A Rezaei Roknabadi, Abdolhamid
%J Expert Systems with Applications
%@ 0957-4174
%D 2010
