Bayesian Prediction Bounds for the Exponential-type Distribution Based on Generalized Progressive Hybrid Censoring Scheme

Kotb Mohammed S. ()
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Kotb Mohammed S.: Department of Mathematics, Faculty of Science, Al-Azhar University, Nasr City, Cairo11884, Egypt; and Department of Mathematics, Al-Baha University, Saudi Arabia

Stochastics and Quality Control, 2018, vol. 33, issue 2, 93-101

Abstract: This paper deals with predicting censored data in a general form for the underlying distribution based on generalized progressive hybrid censoring scheme. A conjugate prior is used and the predictive reliability function is obtained in the one-sample case. The special case of linear exponential distributed observations is considered and completed with numerical results.

Keywords: Bayesian Prediction Intervals; Generalized Progressive Hybrid Censoring Sample; One-Sample Scheme; Linear Exponential Distribution (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:bpj:ecqcon:v:33:y:2018:i:2:p:93-101:n:3

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DOI: 10.1515/eqc-2018-0012

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