Predicting observables from Weibull model based on general progressive censored data with asymmetric loss

DOI10.1016/j.stamet.2011.05.003zbMath1219.62052OpenAlexW1973857940MaRDI QIDQ634838

Abdullah Y. Al-Hossain, Mashail M. Al-Harbi, Ahmed A. Soliman

Publication date: 17 August 2011

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

Full work available at URL: https://doi.org/10.1016/j.stamet.2011.05.003

zbMATH Keywords

Weibull distributionBayesian approachsymmetric and asymmetric loss functionsBayes 2-sample predictionpoint and interval prediction

Mathematics Subject Classification ID

Censored data models (62N01) Bayesian inference (62F15) Applications of renewal theory (reliability, demand theory, etc.) (60K10) Reliability and life testing (62N05)

Related Items (3)

Two-sample prediction for progressively Type-II censored Weibull lifetimes ⋮ Unnamed Item ⋮ Bayesian estimation and prediction for the inverse weibull distribution under general progressive censoring

Uses Software

• StInt

Cites Work

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