Maximum Product Spacing Estimation of Weibull Distribution Under Adaptive Type-II Progressive Censoring Schemes

被引：1
作者：
Almetwally E.M. [1 ]
Almongy H.M. [2 ]
Rastogi M.K. [3 ]
Ibrahim M. [4 ]
机构：
[1] Faculty of Business Administration, Delta University of Science and Technology, Mansoura
[2] Faculty of Commerce, Mansoura University, Mansoura
[3] Department of Statistics, Patna University, Patna, 800005, Bihar
[4] Faculty of Commerce, Damietta University, Damietta
来源：
Annals of Data Science | 2020年 / 7卷 / 02期
关键词：
Adaptive type-II progressive censoring; Maximum likelihood estimation; Maximum product spacing; Reliability estimation; Weibull distribution;
D O I：
10.1007/s40745-020-00261-5
中图分类号：
学科分类号：
摘要：
The adaptive type-II progressive censoring schemes of maximum product spacing will be discussed. This article discusses the estimation of the Weibull parameters using the maximum product spacing and the maximum likelihood estimation methods. We also discuss the construction of reliability estimation of adaptive type-II progressively censored reliability sampling schemes for the Weibull distribution to determine the optimal adaptive type-II progressive censoring schemes. The estimation is done under adaptive type-II progressive censored samples and a comparative study among the methods is made using Monte Carlo simulation. A real data is used to study the performance of the estimation process under this optimal scheme in practice. © 2020, Springer-Verlag GmbH Germany, part of Springer Nature.
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收藏
页码：257 / 279
页数：22
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