Parameter Estimation Under Failure-Censored Constant-Stress Life Testing Model: A Bayesian Approach

DOI10.1080/07474946.2015.1030983zbMath1317.62079OpenAlexW2477537862MaRDI QIDQ5256829

Ali A. Ismail

Publication date: 29 June 2015

Published in: Sequential Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/07474946.2015.1030983

zbMATH Keywords

maximum likelihood estimationBayesian estimationPareto distributionsquared error loss functionfailure censoringpartially accelerated constant-stress test

Mathematics Subject Classification ID

Censored data models (62N01) Reliability and life testing (62N05)

Related Items (1)

Bayesian and non-Bayesian inference for a general family of distributions based on simple step-stress life test using TRV model under type II censoring

Cites Work

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• Bayesian analysis for masked system failure data using non-identical Weibull models
• Bayes estimation of Gompertz distribution parameters and acceleration factor under partially accelerated life tests with type-I censoring
• Structural probability bounds for the strong Pareto law
• Accelerated Testing
• Optimal design of partially accelerated life tests for the exponential distribution under type-I censoring
• The generalized Pareto law as a model for progressively censored survival data
• Optimum constant-stress life test plans for Pareto distribution under type-I censoring

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