Entropy Estimation of Generalized Half-Logistic Distribution (GHLD) Based on Type-II Censored Samples

Abstract

This paper derives the entropy of a generalized half-logistic distribution based on Type-II censored samples, obtains some entropy estimators by using Bayes estimators of an unknown parameter in the generalized half-logistic distribution based on Type-II censored samples and compares these estimators in terms of the mean squared error and the bias through Monte Carlo simulations.

Keywords

• entropy
• expected Bayesian estimation
• generalized half-logistic distribution
• Type-II censored sample