![Sample our Mathematics & Statistics journals, sign in here to start your FREE access for 14 days]({"type":"image" , "src" : "/sda/5943/TOC-Subject-Sample-2021-Mathematics-Statistics.jpg"})
Abstract
A procedure for using a random sample to estimate the entropy of the sampled distribution is developed. It is based on one or two power transformations to a symmetric distribution which has the maximum entropy in a certain class. The procedure's potential for removing strong negative bias in previously proposed entropy estimators is demonstrated by the results of a Monte Carlo study.