Bayesian analysis of pareto reliability with dependent masked data

Ancha Xu; Yincai Tang

doi:10.1109/TR.2009.2026811

Bayesian analysis of pareto reliability with dependent masked data

Ancha Xu^*
, Yincai Tang

^*Corresponding author for this work

School of Statistics

East China Normal University

Research output: Contribution to journal › Article › peer-review

26 Scopus citations

Abstract

In this paper, we consider a series system with two-independent components, each of which has a Pareto distributed lifetime.We assume the lifetime data from the system are masked, and the masking probability is dependent. Noninformative prior, and conjugate prior are considered; and Gibbs sampling method is used to obtain the estimators of the unknown parameters, the reliability function, and the hazard function. A numeric example demonstrates how to apply the theoretical results.

Original language	English
Article number	5196699
Pages (from-to)	583-588
Number of pages	6
Journal	IEEE Transactions on Reliability
Volume	58
Issue number	4
DOIs	https://doi.org/10.1109/TR.2009.2026811
State	Published - 2009

Keywords

Bayesian estimators
Gibbs sampling
Masking probability
Pareto distribution

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10.1109/TR.2009.2026811

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Bayesian analysis of pareto reliability with dependent masked data

Abstract

Keywords

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