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Annals of Data Science

Erschienen in:

16.04.2019

Statistical Inference for the Chen Distribution Based on Upper Record Values

verfasst von: Farhad Yousaf, Sajid Ali, Ismail Shah

Erschienen in: Annals of Data Science | Ausgabe 4/2019

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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.

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Titel: Statistical Inference for the Chen Distribution Based on Upper Record Values
verfasst von: Farhad Yousaf
Sajid Ali
Ismail Shah
Publikationsdatum: 16.04.2019
Verlag: Springer Berlin Heidelberg
Erschienen in: Annals of Data Science / Ausgabe 4/2019
Print ISSN: 2198-5804
Elektronische ISSN: 2198-5812
DOI: https://doi.org/10.1007/s40745-019-00214-7

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