Classical and Bayesian Inference under Burr-X Distribution Based on New Unified Progressive Hybrid Censoring Scheme with Engineering Applications

Saieed F. Ateya, Randa Alharbi, Mutua Kilai, Ramy Aldallal and Melike Kaplan

Journal of Mathematics, 2022, vol. 2022, 1-10

Abstract: In this paper, a new unified progressive hybrid censoring scheme UPHCS has been constructed. This unified censoring scheme covers eleven famous censoring schemes. The estimation problem of Burr-X distribution parameters has been studied using the maximum likelihood and Bayes approaches based on the suggested unified progressive hybrid censored samples. Two real data sets have been used as illustrative engineering examples.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jjmath:3746821

DOI: 10.1155/2022/3746821

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