Bayesian Estimation for GDUS Exponential Distribution Under Type-I Progressive Hybrid Censoring

This paper describes the classical and Bayesian inferences for the generalized DUS exponential distribution under type-I progressive hybrid censored data. In classical estimation; maximum likelihood estimator is used for obtaining estimates of the parameters. While in Bayesian context; two different...

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Veröffentlicht in:	Annals of data science 2020-06, Vol.7 (2), p.307-345
Hauptverfasser:	Goyal, Teena, Rai, Piyush K., Maurya, Sandeep K.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial Intelligence Bayesian analysis Business and Management Computer simulation Confidence intervals Density Economics Finance Insurance Management Markov chains Maximum likelihood estimation Maximum likelihood estimators Monte Carlo simulation Parameter estimation Probability distribution functions Statistics for Business
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