Statistical Inference Based on Progressively Type II Censored Data from Weibull Model

DOI10.1080/03610918.2013.842589zbMath1474.62157OpenAlexW2000330774MaRDI QIDQ5860266

Intesar M. al-Mudahakha, R. R. Abu Awwad, Mohammad Zayed Raqab

Publication date: 19 November 2021

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.667.7721

zbMATH Keywords

Bayes estimationMonte Carlo simulationWeibull distributionBayes predictionprogressive censoring data

Mathematics Subject Classification ID

Point estimation (62F10) Bayesian inference (62F15) Order statistics; empirical distribution functions (62G30)

Related Items (5)

Unnamed Item ⋮ Statistical inference for modified Weibull distribution based on progressively type-II censored data ⋮ Bayes estimation of \(P(Y < X)\) for the Weibull distribution with arbitrary parameters ⋮ Analysis of non-repairable cold-standby systems in Bayes theory ⋮ One- and two-sample prediction for the progressively censored Rayleigh residual data

Cites Work

• Bayesian estimation for the exponentiated Weibull model under type II progressive censoring
• On progressively censored generalized exponential distribution
• Bayesian inference and prediction of order statistics for a type-II censored Weibull distribution
• On the maximum likelihood estimation of parameters of Weibull distribution based on complete and censored data
• On some predictors of times to failure of censored items in progressively censored samples
• A simple algorithm for generating random variates with a log-concave density
• Bayesian Estimation and Prediction Using Asymmetric Loss Functions
• Bayesian Analysis for the Poly-Weibull Distribution
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