Hypothesis Testing in Weighted Distributions

Abstract

There are many situations in which experiments are not available or data are recorded from the population proportion to a nonnegative function called weight function. In a such situations the classical methods for inferencing about unknown parameters are not useful. In this study the problem of statistical hypothesis testing is considered for weighted distributions to obtain (uniformly) most powerful tests