Bayesian Inference in Marshall–Olkin Bivariate Exponential Shared Gamma Frailty Regression Model under Random Censoring

DOI10.1080/03610926.2012.732182zbMath1314.62085OpenAlexW2090877251MaRDI QIDQ5249172

Richa Sharma, David D. Hanagal

Publication date: 29 April 2015

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2012.732182

zbMATH Keywords

Fisher informationgoodness-of-fit testsBayesian estimationgamma frailtyshared frailtycensored sampleMarkov Chain Monte Carlo (MCMC)simultaneous failureMarshall-Olkin's bivariate exponential distribution

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01) Bayesian inference (62F15)

Related Items (8)

Marshall–Olkin frailty survival models for bivariate right-censored failure time data ⋮ Correlated positive stable frailty models ⋮ Correlated inverse Gaussian frailty models for bivariate survival data ⋮ Compound Poisson shared frailty models based on additive hazards ⋮ Mortality modeling under stochastic frailty ⋮ Weighted Lindley multiplicative regression frailty models under random censored data ⋮ A new approach to measure systemic risk: a bivariate copula model for dependent censored data ⋮ Inference on Marshall-Olkin bivariate exponential in the presence of dependent left censoring

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