Open AccessGeneralized Inverse Power Sujatha Distribution with Applications
Author(s) -
Ogechukwu Okoli,
George A. Osuji,
Chrisogonus K. Onyekwere
Publication year - 2021
Publication title -
asian journal of probability and statistics
Language(s) - English
Resource type - Journals
ISSN - 2582-0230
DOI - 10.9734/ajpas/2021/v15i330354
Subject(s) - mathematics , statistics , log logistic distribution , cumulative distribution function , confidence interval , moment (physics) , hazard ratio , inverse , probability density function , physics , geometry , classical mechanics
In this paper, we present a new lifetime distribution known as the generalized inverse power Sujatha distribution. The statistical and mathematical properties of the new distribution such as the moment and moment generating function, Renyi entropy and distribution of order statistics have been derived and discussed. Also, reliability measures like survival function, hazard function, reverse hazard rate, cumulative hazard rate and odds function are discussed. Maximum likelihood estimation technique was used to estimate the parameters. However, a 95% confidence intervals were constructed for the parameters. Finally, we applied the proposed distribution to two lifetime datasets and compare its superiority over other candidate models. Results obtained indicates that the generalized inverse power Sujatha distribution outperform the other competing models.