Title : ( Statistical Inference about the Variance of Fuzzy Random Variables )
Authors: M. Gh. Akbari , Abdolhamid Rezaei Roknabadi , Y. Waghei ,
Full TextAbstract
The variance of a fuzzy random variable plays an important role as a measure of central tendency. Some of the main contributions in this topic are consolidated and discussed in this paper. In case of the hypothesis testing problem, bootstrap techniques (Efron and Tibshirani, 1993) have empirically been shown to be efficient and powerful. Algorithms to apply these techniques in practice and some illustrative examples are provided. We also describe a bootstrap method for estimating the variance that is designed for the testing of hypotheses problem for fuzzy data based on the L2 metric.
Keywords
Fuzzy canonical number; L2 metric; fuzzy random sample; testing of hypotheses; bootstrap method.
@article{paperid:1020058,
author = {M. Gh. Akbari and Rezaei Roknabadi, Abdolhamid and Y. Waghei},
title = {Statistical Inference about the Variance of Fuzzy Random Variables},
journal = {Sankhya - Series B},
year = {2009},
volume = {71},
number = {2},
month = {March},
issn = {0581-5738},
pages = {206--221},
numpages = {15},
keywords = {Fuzzy canonical number; L2 metric; fuzzy random
sample; testing of hypotheses; bootstrap method.},
}
%0 Journal Article
%T Statistical Inference about the Variance of Fuzzy Random Variables
%A M. Gh. Akbari
%A Rezaei Roknabadi, Abdolhamid
%A Y. Waghei
%J Sankhya - Series B
%@ 0581-5738
%D 2009
