A new extension of Chris-Jerry distribution with its properties

Author:

Subramanian C.1,Subhashree M.2

Affiliation:

1. Professor, Department of Statistics , Annamalai University , Annamalainagar, Chidambaram, Tamilnadu , India -

2. Research Scholar, Department of Statistics , Annamalai University , Annamalainagar , Tamil Nadu , India -608002.

Abstract

Abstract In this article, we proposed a new probability distribution called length-biased Chris-Jerry distribution in which length-biased distribution is a specific case of weighted distribution. Also, we determined the structural properties of length-biased Chris-Jerry distribution and the unknown parameters were estimated by maximum likelihood estimator and tested by likelihood ratio test. Finally, we emphasized a real lifetime data set to reveal how the proposed distribution worked in it.

Publisher

Walter de Gruyter GmbH

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