Bayesian analysis of progressively censored competing risks data
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Publication:2392592
DOI10.1007/s13571-011-0024-xzbMath1268.62032OpenAlexW1986177729MaRDI QIDQ2392592
Debasis Kundu, Biswabrata Pradhan
Publication date: 2 August 2013
Published in: Sankhyā. Series B (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s13571-011-0024-x
Markov chain Monte Carlocredible intervaltype-II progressive censoring schemeoptimum censoring schemelatent failure time model
Censored data models (62N01) Bayesian inference (62F15) Monte Carlo methods (65C05) Numerical analysis or methods applied to Markov chains (65C40) Reliability and life testing (62N05)
Related Items (20)
Bayesian sensitivity analysis to the non-ignorable missing cause of failure for hybrid censored competing risks data ⋮ On Bayesian Inference of $$R=P(Y < X)$$ for Weibull Distribution ⋮ Analysis of left truncated and right censored competing risks data ⋮ Analysis of hybrid censored competing risks data ⋮ On two exponential populations under a joint adaptive type-II progressive censoring ⋮ Statistical inference for competing risks model under progressive interval censored Weibull data ⋮ Analysis of progressive type-II competing risks data, with applications ⋮ Inference for a competing risks model with Burr XII distributions under generalized progressive hybrid censoring ⋮ On a progressively censored competing risks data from Gompertz distribution ⋮ Bayesian analysis for partially complete time and type of failure data ⋮ Bayesian order-restricted inference of a Weibull multi-step step-stress model ⋮ Statistical analysis of adaptive type-II progressively censored competing risks for Weibull models ⋮ Inference and optimal censoring scheme for progressively type-II censored competing risks model for generalized Rayleigh distribution ⋮ Point and interval estimation of Weibull parameters based on joint progressively censored data ⋮ Exact inference on multiple exponential populations under a joint type-II progressive censoring scheme ⋮ Inference for Weibull competing risks model with partially observed failure causes under generalized progressive hybrid censoring ⋮ Inference for a general family of inverted exponentiated distributions with partially observed competing risks under generalized progressive hybrid censoring ⋮ Bayesian inference of a dependent competing risk data ⋮ Inference of progressively type-II censored competing risks data from Chen distribution with an application ⋮ Inference for partially observed competing risks model for Kumaraswamy distribution under generalized progressive hybrid censoring
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