Inference for exponential competing risks data under generalized progressive hybrid censoring

DOI10.1080/03610918.2019.1667388OpenAlexW2974497200WikidataQ115551244 ScholiaQ115551244MaRDI QIDQ5082889

Liang Wang, Huanyu Li

Publication date: 21 June 2022

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

Full work available at URL: https://doi.org/10.1080/03610918.2019.1667388

zbMATH Keywords

maximum likelihood estimationBayesian inferencecompeting risks modelMonte-Carlo simulationgeneralized progressive hybrid censoring

Mathematics Subject Classification ID

Point estimation (62F10) Bayesian inference (62F15) Exact distribution theory in statistics (62E15)

Related Items (3)

Inference for a competing risks model with Burr XII distributions under generalized progressive hybrid censoring ⋮ Analysis of masked data with Lindley failure model ⋮ Reliability analysis of J-out-of-N system with Nadarajah-Haghighi component under generalised progressive hybrid censoring

Cites Work

• Unnamed Item
• The art of progressive censoring. Applications to reliability and quality
• Prediction of future failures for generalized exponential distribution under type-I or type-II hybrid censoring
• Modularization of hybrid censoring schemes and its application to unified progressive hybrid censoring
• Estimation of the inverse Weibull parameters under adaptive type-II progressive hybrid censoring scheme
• Analysis of type-II progressively hybrid censored data
• Inference of progressively censored competing risks data from Kumaraswamy distributions
• Inference from iterative simulation using multiple sequences
• Exact likelihood inference for an exponential parameter under generalized progressive hybrid censoring scheme
• Bayes estimation for the Marshall-Olkin bivariate Weibull distribution
• On generalized progressive hybrid censoring in presence of competing risks
• A Proportional Hazards Regression Model for the Subdistribution with Covariates-adjusted Censoring Weight for Competing Risks Data
• Analysis of hybrid censored competing risks data
• Markov Chain Monte Carlo Convergence Diagnostics: A Comparative Review
• Nonparametric estimation of cause-specific cross hazard ratio with bivariate competing risks data
• Inference and optimum life testing plans based on Type-II progressive hybrid censored generalized exponential data
• Accelerated life tests under finite mixture models

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