Bayesian and classical estimation of reliability in a multicomponent stress-strength model under adaptive hybrid progressive censored data

DOI10.1007/s00362-019-01094-yzbMath1477.62274OpenAlexW2912133652MaRDI QIDQ2066498

Shirin Shoaee, Akram Kohansal

Publication date: 14 January 2022

Published in: Statistical Papers (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00362-019-01094-y

zbMATH Keywords

Weibull distributionMCMC methodmulticomponent stress-strength reliabilityadaptive type-II hybrid progressive censoredapproximation maximum likelihood estimation

Mathematics Subject Classification ID

Point estimation (62F10) Bayesian inference (62F15) Estimation in survival analysis and censored data (62N02) Reliability and life testing (62N05)

Related Items (9)

Multicomponent stress-strength reliability based on a right long-tailed distribution ⋮ Estimation of stress-strength reliability for multicomponent system with a generalized inverted exponential distribution ⋮ Inference of multicomponent stress-strength reliability following Topp-Leone distribution using progressively censored data ⋮ Unnamed Item ⋮ Stress–strength reliability estimation of a consecutive k-out-of-n system based on proportional hazard rate family ⋮ Reliability estimation of \(s\)-out-of-\(k\) system in a multicomponent stress-strength dependent model based on copula function ⋮ Inference of reliability in a multicomponent stress-strength model under generalized progressive hybrid censoring ⋮ Reliability inference for multicomponent stress-strength model from Kumaraswamy-G family of distributions based on progressively first failure censored samples ⋮ Multi-component stress–strength parameter estimation of a non-identical-component strengths system under the adaptive hybrid progressive censoring samples

Cites Work

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• Estimation and prediction of the Kumaraswamy distribution based on record values and inter-record times
• Truncated Life Tests in the Exponential Case

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