E-Bayesian and Hierarchical Bayesian Estimations for the Inverse Weibull Distribution

Abdulkareem M. Basheer (), H. M. Okasha, A. H. El-Baz and A. M. K. Tarabia
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Abdulkareem M. Basheer: Damietta University
H. M. Okasha: King AbdulAziz University
A. H. El-Baz: Damietta University
A. M. K. Tarabia: Damietta University

Annals of Data Science, 2023, vol. 10, issue 3, No 8, 737-759

Abstract: Abstract In this paper new formulas for E-Bayesian and hierarchical Bayesian estimations of the parameter and reliability of the inverse Weibull distribution are obtained in closed forms. To illustrate the applicability of the obtained results, simulated and real data are used which illustrate that E-Bayesian estimate gives superior performance much better than hierarchical Bayesian for the estimate of the parameter of the inverse Weibull distribution.

Keywords: Inverse Weibull distribution; E-Bayesian estimation; Hierarchical Bayesian estimation; Reliability; Simulation (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s40745-020-00320-x

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