%0 Journal Article
%T Fuzzy Bootstrap Test for the Mean and Variance with Dp,q-Distance
%A Bahram Sadeghpour Gildeh
%A Sedigheh Rahimpour
%J International Journal of Machine Learning and Computing
%D 2013
%I IACSIT Press
%R 10.7763/ijmlc.2013.v3.265
%X Testing statistical hypothesis is a main topic in statistical inference. In this paper, we consider the problem of testing a simple hypothesis about the mean and variance of a fuzzy random variable with the help of Dp,q-distance. Concerning the hypothesis testing, the bootstrap techniques have empirically shown to be efficient and powerful. By means of simulation and some examples we show that the bootstrap method is a powerful tool in the statistical hypothesis testing about the parameters of fuzzy random variables.
%K Bootstrap
%K Dp
%K q-distance
%K fuzzy random variable
%K testing of hypothesis.
%U http://www.ijmlc.org/index.php?m=content&c=index&a=show&catid=35&id=262