Fuzzy Bootstrap Test for the Mean and Variance with Dp,q-Distance

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.