Analysis of adaptive type-II progressively hybrid censoring with binomial removals

DOI10.1080/00949655.2022.2127149OpenAlexW4298139875MaRDI QIDQ6074171

Ahmed Elshahhat, Mazen Nassar

Publication date: 19 September 2023

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

Full work available at URL: https://doi.org/10.1080/00949655.2022.2127149

zbMATH Keywords

maximum likelihood estimationWeibull distributionMarkov chain Monte Carlo techniquesBayes procedurebinomial removaladaptive Type-II progressive hybrid censoring

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• The art of progressive censoring. Applications to reliability and quality
• Bayesian and robust Bayesian analysis under a general class of balanced loss functions
• Analysis of type-II progressively hybrid censored data
• On progressively censored competing risks data for Weibull distributions
• Statistical inference for the Rayleigh distribution under progressively type-II censoring with binomial removal
• Statistical inference of Burr-XII distribution under progressive type-II censored competing risks data with binomial removals
• maxLik: a package for maximum likelihood estimation in R
• Posterior analysis of the compound Rayleigh distribution under balanced loss functions for censored data
• Statistical analysis of exponential lifetimes under an adaptive Type-II progressive censoring scheme
• Logistic Regression, Survival Analysis, and the Kaplan-Meier Curve
• Statistical analysis of Weibull distributed lifetime data under Type II progressive censoring with binomial removals

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