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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Vydané v:	Journal of statistical computation and simulation Ročník 94; číslo 2; s. 376 - 399
Hlavní autori:	Dutta, Subhankar, Lio, Yuhlong, Kayal, Suchandan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Abingdon Taylor & Francis 22.01.2024 Taylor & Francis Ltd
Predmet:	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
On-line prístup:	Získať plný text
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