Abstract

In this paper, we have proposed a new extension of the Chris-Jerry distribution called as Weighted Chris-Jerry Distribution which depends on two parameters. The statistical properties of this distribution such as moments, survival functions and hazard rate, reverse hazard rate, order statistics, entropies and likelihood ratio test are derived. The two parameters are estimated using maximum likelihood estimator. To illustrate this distribution, real life data set is considered. This data set is analyzed through this distribution, to show how the proposed model worked in it.

Keywords: Weighted distribution; Chris-Jerry distribution; reliability analysis; maximum likelihood estimator; order statistics; likelihood ratio test.

DOI: 10.57016/MV-RYLe8813

Pages:  1--12