Inference for dependent competing risks from bivariate Kumaraswamy distribution under generalized progressive hybrid censoring

DOI10.1080/03610918.2019.1708929zbMath1487.62118OpenAlexW2999738294WikidataQ126381753 ScholiaQ126381753MaRDI QIDQ5866144

Meng-yang Li, Liang Wang, Yogesh Mani Tripathi

Publication date: 13 June 2022

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

Full work available at URL: https://doi.org/10.1080/03610918.2019.1708929

zbMATH Keywords

maximum likelihood estimationMonte Carlo simulationdependent competing risksposterior analysisbivariate Kumaraswamy distributiongeneralized progressive hybrid censoring

Mathematics Subject Classification ID

Point estimation (62F10) Bayesian inference (62F15) Estimation in survival analysis and censored data (62N02) Reliability and life testing (62N05)

Related Items (2)

Bayesian and non-Bayesian estimation for the parameter of bivariate generalized Rayleigh distribution based on Clayton copula under progressive type-II censoring with random removal ⋮ Reliability analysis of J-out-of-N system with Nadarajah-Haghighi component under generalised progressive hybrid censoring

Cites Work

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• Kumaraswamy's distribution: a beta-type distribution with some tractability advantages
• Progressively type-II censored competing risks data from Lomax distributions
• Optimal step-stress testing for progressively type-I censored data from exponential distribu\-tion
• Analysis of dependent competing risks in the presence of progressive hybrid censoring using Marshall-Olkin bivariate Weibull distribution
• Exact likelihood inference for an exponential parameter under generalized progressive hybrid censoring scheme
• Statistical inference for the Rayleigh distribution under progressively type-II censoring with binomial removal
• Bayes estimation for the Marshall-Olkin bivariate Weibull distribution
• Test of fit for Marshall-Olkin distributions with applications
• On hybrid censored Weibull distribution
• Bivariate Kumaraswamy distribution: properties and a new method to generate bivariate classes
• Probabilistic design of systems with general distributions of parameters
• On progressive hybrid censored exponential distribution
• Parameter estimation and prediction of order statistics for the Burr Type XII distribution with Type II censoring
• Statistical Analysis of the Log-Normal Distribution under Type-II Progressive Hybrid Censoring Schemes

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