Stress–Strength Reliability for the Unit-Lindley Distribution with an Application

Author:

Biswas Aniket1,Chakraborty Subrata1

Affiliation:

1. Department of Statistics, Dibrugarh University, Dibrugarh, Assam, India.

Abstract

The unit-Lindley distribution has recently been introduced in the literature as an alternative to the beta and the Kumaraswamy distributions in support (0,1). This distribution enjoys many virtuous properties over the mentioned distributions. In this article, we address the issue of parameter estimation from a Bayesian perspective and study relative performance of different estimators through extensive simulation experiments. Significant emphasis is given to the estimation of stress–strength reliability employing classical as well as Bayesian approach. Application of an intuitive metric of discrepancy derived from stress–strength reliability is considered and computed for two different geographic regions with respect to an important public health indicator. AMS 2010 subject classifications: 62F10, 62P05.

Publisher

SAGE Publications

Subject

General Medicine

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A novel method of generating distributions on the unit interval with applications;Communications in Statistics - Theory and Methods;2023-11-17

2. Reliability characteristics of COVID-19 death rate using generalized progressive hybrid censored data;International Journal of Quality & Reliability Management;2023-09-11

3. Optimal analysis of adaptive type-II progressive censored for new unit-lindley model;Journal of King Saud University - Science;2023-02

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