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Partially linear censored regression models using heavy-tailed distributions: A Bayesian approach
(ELSEVIER SCIENCE BV, 2014)
Linear regression models where the response variable is censored are often considered in statistical analysis. A parametric relationship between the response variable and covariates and normality of random errors are ...
The log-exponentiated generalized gamma regression model for censored data
(TAYLOR & FRANCIS LTDABINGDON, 2012)
For the first time, we introduce a generalized form of the exponentiated generalized gamma distribution [Cordeiro et al. The exponentiated generalized gamma distribution with application to lifetime data, J. Statist. Comput. ...
A log-linear regression model for the beta-Birnbaum-Saunders distribution with censored data
(ELSEVIER SCIENCE BVAMSTERDAM, 2012)
The beta-Birnbaum-Saunders (Cordeiro and Lemonte, 2011) and Birnbaum-Saunders (Birnbaum and Saunders, 1969a) distributions have been used quite effectively to model failure times for materials subject to fatigue and lifetime ...
Nonlinear Censored Regression Models With Heavy-tailed Distributions
(INT PRESS BOSTON, INCSOMERVILLE, 2016)
Nonlinear Censored Regression Models With Heavy-tailed Distributions
(Int Press Boston, IncSomerville, 2016)
Deviance residuals in generalised log-gamma regression models with censored observations
(TAYLOR & FRANCIS LTD, 2008)
In this article, we compare three residuals based on the deviance component in generalised log-gamma regression models with censored observations. For different parameter settings, sample sizes and censoring percentages, ...
Partially linear censored regression models using heavy-tailed distributions: A Bayesian approach
(Elsevier Science BvAmsterdamHolanda, 2014)
The log-exponentiated Weibull regression model for interval-censored data
(ELSEVIER SCIENCE BV, 2010)
In interval-censored survival data, the event of interest is not observed exactly but is only known to occur within some time interval. Such data appear very frequently. In this paper, we are concerned only with parametric ...
The skew-t censored regression model: parameter estimation via an EM-type algorithm
(KOREAN STATISTICAL SOC, 2022)
The skew-t distribution is an attractive family of asymmetrical heavy-tailed densities that includes the normal, skew-normal and Student's-t distributions as special cases. In this work, we propose an EM-type algorithm for ...