Testing Exponentiality Based On Type Ⅱ Censored Data And A New Cdf Estimator

摘要

In this article, we use a new cdf estimator to obtain a nanparametric entropy estimate and use it for testing exponentiality and normality. We also use the new cdf estimator to estimate the joint entropy of the Type Ⅱ censored data which we use for some goodness-of-fit tests based on Kullback-Leibler information and show, by simulation, that it compares favorably with the leading competitor.