Document Type

Article

Publication Date

10-1-1993

Publication Title

Journal of Applied Mathematics and Stochastic Analysis

Abstract

A characterization of exponential, geometric and of distributions with almost-lack-of-memory property, based on the revelation transform of probability distributions and relevation of random variables is discussed. Known characterizations of the exponential distribution on the base of relevation transforms given by Grosswald et al. [4], and Lau and Rao [7] are obtained under weakened conditions and the proofs are simplified. A characterization the class of almost-lack-of-memory distributions through the relevation is specified.

Volume

6

Issue

4

First Page

345

Last Page

357

DOI

10.1155/S1048953393000292

ISSN

1048-9533

Rights

© 1993 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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