Volume 9, Issue 2 (9-2023)
mmr 2023, 9(2): 198-219 |
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Nasiri P, Obeidi R. Inverse Weibull-Geometric Distribution and Estimation its Parameters under Type-II Censored Data. mmr 2023; 9 (2) :198-219
URL: http://mmr.khu.ac.ir/article-1-3238-en.html
URL: http://mmr.khu.ac.ir/article-1-3238-en.html
1- , pnasiri45@yahoo.com
Abstract: (2464 Views)
As application of compound distributions in the study of longevity data, in this paper the compound distribution of inverse Weibull Geometric is investigated. The presence of parameters of scale, shape and failure rate in this distribution, their study in terms of estimation and hypothesis testing is of particular importance. However, since the phenomenon of censorship is also considered in the study of lifetime data, so the parameters under the type-II of censorship are estimated using the maximum likelihood and Bayesian estimation. In Bayesian estimation, the parameters under different loss functions are estimated based on appropriate prior distributions, then the symmetric confidence interval and HPD are presented by simulation and the estimators are compared using statistical criteria. Finally, the goodness of fit of model is presented by the real data.
Keywords: Compound Distribution, Inverse Weibull, Type II Censorship, Bayesian Estimation, EM Algorithm.
Type of Study: Original Manuscript |
Subject:
stat
Received: 2021/10/18 | Revised: 2024/02/17 | Accepted: 2022/03/16 | Published: 2023/12/3 | ePublished: 2023/12/3
Received: 2021/10/18 | Revised: 2024/02/17 | Accepted: 2022/03/16 | Published: 2023/12/3 | ePublished: 2023/12/3
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