Upper bound for variance of finite mixtures of power exponential distributions

Author:

Kwong Hok Shing1,Nadarajah Saralees1

Affiliation:

1. Department of Mathematics University of Manchester Manchester M13 9PL UK

Abstract

Abstract Both variance and entropy are commonly used measures for uncertainty. There exists many cases where variance is infinite and entropy is finite. In this note, we derive an upper bound illustrating the relationship between variance and entropy of random variables having a special class of distributions. We also derive an upper bound for kth absolute central moment proportional to entropy power for a special class of distributions.

Publisher

Walter de Gruyter GmbH

Subject

General Mathematics

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