Bayesian prediction bounds for the exponential-type distribution based on generalized progressive hybrid censoring scheme

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3 Scopus citations

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.

Original languageEnglish
Pages (from-to)93-101
Number of pages9
JournalStochastics and Quality Control
Volume33
Issue number2
DOIs
StatePublished - 1 Dec 2018

Keywords

  • Bayesian prediction intervals
  • Generalized progressive hybrid censoring sample
  • Linear exponential distribution
  • One-sample scheme

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