Parametric inferences using dependent competing risks data with partially observed failure causes from MOBK distribution under unified hybrid censoring

In this communication, various statistical inferential procedures for estimating unknown model parameters are investigated via utilizing partially observed dependent competing risks data under the unified hybrid censoring scheme when the latent failure times follow Marshall-Olkin bivariate Kumaraswa...

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Bibliographic Details
Published in:	Journal of statistical computation and simulation Vol. 94; no. 2; pp. 376 - 399
Main Authors:	Dutta, Subhankar, Lio, Yuhlong, Kayal, Suchandan
Format:	Journal Article
Language:	English
Published:	Abingdon Taylor & Francis 22.01.2024 Taylor & Francis Ltd
Subjects:	Asymptotic properties Bayesian estimation Bivariate analysis Confidence intervals dependent competing risks Dirichlet problem Failure times Fisher information gamma-Dirichlet prior HPD credible interval Markov chains Maximum likelihood estimators MOBK distribution Monte Carlo simulation Normality Statistical analysis unified hybrid censoring
ISSN:	0094-9655, 1563-5163
Online Access:	Get full text
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