Point predictors of the latent failure times of censored units in progressively Type-II censored competing risks data from the exponential distributions

DOI10.1080/00949655.2015.1079634OpenAlexW1695685111MaRDI QIDQ5222427

M. Rezaei, Kambiz Ahmadi, Fatemeh Yousefzadeh

Publication date: 1 April 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2015.1079634

zbMATH Keywords

exponential distributionprogressive type-II censoringcompeting risksMonte-Carlo simulationpoint predictor

Mathematics Subject Classification ID

Censored data models (62N01) Estimation in survival analysis and censored data (62N02)

Related Items (1)

Progressively Type-II censored competing risks data for exponential distributions based on sequential order statistics

Cites Work

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• The art of progressive censoring. Applications to reliability and quality
• Progressively type-II censored competing risks data from Lomax distributions
• On some predictors of times to failure of censored items in progressively censored samples
• On progressively censored competing risks data for Weibull distributions
• Predictors for failure times of censored units in progressively type II censored samples from normal and lognormal distributions
• Median unbiasedness in an invariant prediction problem
• Bayesian prediction intervals of order statistics based on progressively type-II censored competing risks data from the half-logistic distribution

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