THE TRUNCATED XLINDLEY DISTRIBUTION WITH CLASSIC AND 6BAYESIAN INFERENCE UNDER CENSORED DATA

Author:

Khodja N.,Aiachi H.,Talhi H.,Benatallah I.N.

Abstract

We provide a brand-new distribution based on the model of Lindley, with an emphasis on the estimation of its unknown parameters. After introducing the new distribution, we cover two approaches to estimate its parameters; in the presence of a censored scheme, we first use a traditional approach, which is The maximum likelihood technique, then we use the Bayesian approach. The BarzilaiBrown algorithm is used to derive the censored maximum likelihood estimators while a Monte Carlo Markov chains (MCMC) procedure is applied to derive the Bayesian ones. Three loss functions are used to provide the Bayesian estimators: the entropy, the generalized quadratic, and the Linex functions. Using Pitman's proximity criteria; the maximum likelihood and the Bayesian estimations are compared. All of the provided estimations techniques have been evaluated throughout simulation studies. Finally, we consider two sample Bayes predictions to predict future order statistics

Publisher

Union of Researchers of Macedonia

Subject

General Mathematics

Cited by 2 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

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3