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

DOI10.1080/00949655.2023.2249165MaRDI QIDQ6552573

Yuhlong Lio, Subhankar Dutta, Suchandan Kayal

Publication date: 10 June 2024

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Point estimation (62F10) Bayesian inference (62F15)

Cites Work

• Kumaraswamy's distribution: a beta-type distribution with some tractability advantages
• Analysis of dependent competing risks in the presence of progressive hybrid censoring using Marshall-Olkin bivariate Weibull distribution
• Objective Bayesian analysis for bivariate Marshall-Olkin exponential distribution
• Exact likelihood inference based on type-I and type-II hybrid censored samples from the exponential distribution
• Inference for a general family of inverted exponentiated distributions under unified hybrid censoring with partially observed competing risks data
• Hybrid censoring: models, inferential results and applications
• Bayes estimation for the Marshall-Olkin bivariate Weibull distribution
• On generalized progressive hybrid censoring in presence of competing risks
• Test of fit for Marshall-Olkin distributions with applications
• Bivariate Kumaraswamy distribution: properties and a new method to generate bivariate classes
• Exact likelihood inference based on an unified hybrid censored sample from the exponential distribution
• Exact likelihood inference for the exponential distribution under generalized Type-I and Type-II hybrid censoring
• Estimation under inverse Weibull distribution based on Balakrishnan’s unified hybrid censored scheme
• Inference for exponential competing risks data under generalized progressive hybrid censoring
• Estimation and prediction for a unified hybrid-censored Burr Type XII distribution
• Analysis of incomplete data in the presence of dependent competing risks from Marshall–Olkin bivariate Weibull distribution under progressive hybrid censoring
• Truncated Life Tests in the Exponential Case
• Inference for dependent competing risks from bivariate Kumaraswamy distribution under generalized progressive hybrid censoring
• Statistical inference of adaptive type II progressive hybrid censored data with dependent competing risks under bivariate exponential distribution

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