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Classical and Bayesian Inference of Conditional Stress-Strength Model under Kumaraswamy Distribution
Journal article   Open access  Peer reviewed

Classical and Bayesian Inference of Conditional Stress-Strength Model under Kumaraswamy Distribution

Fathy H. Riad, Mohammad Mehdi Saber, Mehrdad Taghipour and M. M. Abd El-Raouf
Computational intelligence and neuroscience, Vol.2021, pp.1-13
2021
PMID: 34373685

Abstract

Stress-strength models have been frequently studied in recent years. An applicable extension of these models is conditional stress-strength models. The maximum likelihood estimator of conditional stress-strength models, asymptotic distribution of this estimator, and its confidence intervals are obtained for Kumaraswamy distribution. In addition, Bayesian estimation and bootstrap method are applied to the model.
url
https://doi.org/10.1155/2021/1087871View
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