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The case for a fully robust hierarchical Bayesian statistical analysis of clinical trials
(International Workshop on Objective Bayes Methodology (OBayes 09),, 2012)
Bayesian survival analysis with BUGS
(John Wiley and Sons Ltd, 2021)
© 2021 John Wiley & Sons Ltd.Survival analysis is one of the most important fields of statistics in medicine and biological sciences. In addition, the computational advances in the last decades have favored the use of ...
A bayesian analysis for the parameters of the exponential-logarithmic distribution
(2013-07-01)
The exponential-logarithmic is a new lifetime distribution with decreasing failure rate and interesting applications in the biological and engineering sciences. Thus, a Bayesian analysis of the parameters would be desirable. ...
A bayesian analysis for the parameters of the exponential-logarithmic distribution
(2013-07-01)
The exponential-logarithmic is a new lifetime distribution with decreasing failure rate and interesting applications in the biological and engineering sciences. Thus, a Bayesian analysis of the parameters would be desirable. ...
On estimation and influence diagnostics for log-Birnbaum-Saunders Student-t regression models: Full Bayesian analysis
(ELSEVIER SCIENCE BV, 2010)
The purpose of this paper is to develop a Bayesian approach for log-Birnbaum-Saunders Student-t regression models under right-censored survival data. Markov chain Monte Carlo (MCMC) methods are used to develop a Bayesian ...
Bayesian Analysis for the Generalized Lognormal Distribution Applied to Failure Time Analysis
(UNIV NAC COLOMBIA, DEPT ESTADISTICA, 2011)
There are several versions of the lognormal distribution in the statistical literature, one is based in the exponential transformation of generalized normal distribution (GN). This paper presents the Bayesian analysis for ...
Bayesian analysis improves experimental studies about temporal patterning of aggression in fish
(2017-12-01)
This study aims to describe a Bayesian Hierarchical Linear Model (HLM) approach for longitudinal designs in fish's experimental aggressive behavior studies as an alternative to classical methods In particular, we discuss ...
Bayesian analysis of the generalized gamma distribution using non-informative priors
(Taylor & Francis Ltd, 2017-01-01)
The Generalized gamma (GG) distribution plays an important role in statistical analysis. For this distribution, we derive non-informative priors using formal rules, such as Jeffreys prior, maximal data information prior ...