Analysis of simple step-stress accelerated life test data from Lindley distribution under type-I censoring

IF 1.6 Q1 STATISTICS & PROBABILITY Statistica Pub Date : 2016-09-30 DOI:10.6092/ISSN.1973-2201/6243
V. A. Sharon, V. Vaidyanathan
{"title":"Analysis of simple step-stress accelerated life test data from Lindley distribution under type-I censoring","authors":"V. A. Sharon, V. Vaidyanathan","doi":"10.6092/ISSN.1973-2201/6243","DOIUrl":null,"url":null,"abstract":"This article introduces step-stress accelerated life time model with Lindley lifetime under type-I censoring. The corresponding likelihood function is developed and parameter estimation by maximum likelihood approach is discussed. Also, parametric bootstrap confidence intervals are constructed for the unknown parameters. Simulation study is carried out to evaluate performance of the estimators of the proposed model.","PeriodicalId":45117,"journal":{"name":"Statistica","volume":"76 1","pages":"233-248"},"PeriodicalIF":1.6000,"publicationDate":"2016-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Statistica","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.6092/ISSN.1973-2201/6243","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"STATISTICS & PROBABILITY","Score":null,"Total":0}
引用次数: 4

Abstract

This article introduces step-stress accelerated life time model with Lindley lifetime under type-I censoring. The corresponding likelihood function is developed and parameter estimation by maximum likelihood approach is discussed. Also, parametric bootstrap confidence intervals are constructed for the unknown parameters. Simulation study is carried out to evaluate performance of the estimators of the proposed model.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
i型截尾条件下林德利分布简单阶跃应力加速寿命试验数据分析
本文介绍了一类滤波条件下具有Lindley寿命的阶跃应力加速寿命模型。建立了相应的似然函数,并讨论了用极大似然法进行参数估计。同时,对未知参数构造了参数自举置信区间。通过仿真研究,对所提模型估计器的性能进行了评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Statistica
Statistica STATISTICS & PROBABILITY-
CiteScore
1.70
自引率
0.00%
发文量
0
审稿时长
10 weeks
期刊最新文献
A New Discrete Distribution: Properties, Characterizations, Modeling Real Count Data, Bayesian and Non-Bayesian Estimations Polynomial Columns-Parameter Symmetry Model and its Decomposition for Square Contingency Tables A Class of Univariate Non-Mesokurtic Distributions Using a Continuous Uniform Symmetrizer and Chi Generator The Marshall-Olkin Gompertz Distribution: Properties and Applications Estimation of Cumulative Incidence Function in the Presence of Middle Censoring Using Improper Gompertz Distribution
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1