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Statistical Inference for K Exponential Populations Under Joint Progressive Type-I Censored Scheme
Volume 18, Issue 2 (2020), pp. 376–389
O.E. Abo-Kasem   Mazen Nassa  

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https://doi.org/10.6339/JDS.202004_18(2).0009
Pub. online: 4 August 2022      Type: Research Article      Open accessOpen Access

Published
4 August 2022

Abstract

In this article, the maximum likelihood estimators of the k independent exponential populations parameters are obtained based on joint progressive type- I censored (JPC-I) scheme. The Bayes estimators are also obtained by considering three different loss functions. The approximate confidence, two Bootstrap confidence and the Bayes credible intervals for the unknown parameters are discussed. A simulated and real data sets are analyzed to illustrate the theoretical results.

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Keywords
Joint progressive Type-I censored scheme Maximum likelihood estimation Confidence bounds

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