The weighted Lindley exponential distribution and its related properties

Author:

Basalamah Doaa1,Alruwaili Bader2

Affiliation:

1. Department of Mathematical Science, College of Applied Science, Umm Al-Qura University, P.O. Box 24231, Makkah, Saudi Arabia

2. Mathematics Department, College of Science, Jouf University, P.O. Box 2014, Sakaka, Saudi Arabia

Abstract

<abstract><p>Both the exponential and Lindley distributions can be used to model the lifetime of a system or process, as well as the distribution of waiting times. In this study, we introduce the $ WLE(\theta, \lambda, \alpha) $ notation for the weighted Lindley exponential distribution. Using two distinct asymmetrical distributions, the skewness mechanism of Azzalini was implemented in this distribution. In other words, we multiplied the density function of the Lindley distribution by the distribution function of the exponential distribution after adding the skewness parameter $ \alpha &gt; 0 $. This $ WLE $ distribution contains the Lindley <sup>[<xref ref-type="bibr" rid="b1">1</xref>]</sup>, the two parameters weighed Lindley <sup>[<xref ref-type="bibr" rid="b2">2</xref>]</sup> and the new weighted Lindley <sup>[<xref ref-type="bibr" rid="b3">3</xref>]</sup> distributions as special cases. We investigated the proposed model's mathematical properties. In addition to studying the central moments, we also investigate maximum likelihood estimators. To demonstrate the superiority of our model, we employ the MLE method to fit the weighted Lindley exponential model to the actual data set.</p></abstract>

Publisher

American Institute of Mathematical Sciences (AIMS)

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