Inference of progressively censored competing risks data from Kumaraswamy distributions

DOI10.1016/j.cam.2018.05.013zbMath1392.62298OpenAlexW2804665992WikidataQ129813582 ScholiaQ129813582MaRDI QIDQ1643889

Liang Wang

Publication date: 20 June 2018

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cam.2018.05.013

zbMATH Keywords

maximum likelihood estimationMonte Carlo simulationBayesian estimationcompeting risksprogressive censoringKumaraswamy distribution

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 (12)

Inference of dependent left-truncated and right-censored competing risks data from a general bivariate class of inverse exponentiated distributions ⋮ Inference for exponential competing risks data under generalized progressive hybrid censoring ⋮ Analysis of progressive type-II competing risks data, with applications ⋮ Inference of competing risks model with partially observed failure causes based on minimum ranked set sampling ⋮ Inference for a competing risks model with Burr XII distributions under generalized progressive hybrid censoring ⋮ Reliability estimation for Kumaraswamy distribution under block progressive type-II censoring ⋮ On a progressively censored competing risks data from Gompertz distribution ⋮ Statistical analysis of adaptive type-II progressively censored competing risks for Weibull models ⋮ Inference and optimal censoring scheme for progressively type-II censored competing risks model for generalized Rayleigh distribution ⋮ Unnamed Item ⋮ Inference for a general family of inverted exponentiated distributions under unified hybrid censoring with partially observed competing risks data ⋮ Inference for partially observed competing risks model for Kumaraswamy distribution under generalized progressive hybrid censoring

Cites Work

• Proportional hazards model for competing risks data with missing cause of failure
• Kumaraswamy's distribution: a beta-type distribution with some tractability advantages
• Progressively type-II censored competing risks data from Lomax distributions
• Exact inference for a simple step-stress model with competing risks for failure from exponential distribution under type-II censoring
• On progressively censored competing risks data for Weibull distributions
• Grid methods in simulation and random variate generation
• Progressive censoring methodology: an appraisal (with comments and rejoinder)
• Test of fit for Marshall-Olkin distributions with applications
• Accelerated life test planning with independent lognormal competing risks
• Bivariate Kumaraswamy distribution: properties and a new method to generate bivariate classes
• Nonparametric estimation of cause-specific cross hazard ratio with bivariate competing risks data
• Probabilistic design of systems with general distributions of parameters
• On the Bayesian inference of Kumaraswamy distributions based on censored samples
• Classical and Bayesian estimation ofP(Y<X) for Kumaraswamy's distribution

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