Statistical Inference for the Chen Distribution Based on Upper Record Values

Farhad Yousaf (), Sajid Ali () and Ismail Shah ()
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Farhad Yousaf: Quaid-i-Azam University
Sajid Ali: Quaid-i-Azam University
Ismail Shah: Quaid-i-Azam University

Annals of Data Science, 2019, vol. 6, issue 4, No 10, 851 pages

Abstract: Abstract This article presents the Bayesian and classical inferences for the Chen distribution assuming upper record values. As the posterior distribution is not in a closed form, a Markov Chain Monte Carlo method is presented to obtain the posterior summaries. To assess the effect of prior on the estimated parameters, sensitivity analysis is also a part of this study. Moreover, a comparison between the Bayesian and frequentist approaches is also given. Besides the simulation studies, a real data example to show the application of the study is also discussed.

Keywords: Asymptotic intervals; Bayesian prediction; Exponentiated Chen distribution; Record values (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (3)

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DOI: 10.1007/s40745-019-00214-7

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