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|Title:||Bayesian analysis for a skew extension of the multivariate null intercept measurement error model|
|Author:||Cancho, V. G.|
Lachos, V. H.
|Abstract:||Skew-normal distribution is a class of distributions that includes the normal distributions as a special case. In this paper, we explore the use of Markov Chain Monte Carlo (MCMC) methods to develop a Bayesian analysis in a multivariate, null intercept, measurement error model [R. Aoki, H. Bolfarine, J.A. Achcar, and D. Leão Pinto Jr, Bayesian analysis of a multivariate null intercept error-in-variables regression model, J. Biopharm. Stat. 13(4) (2003b), pp. 763–771] where the unobserved value of the covariate (latent variable) follows a skew-normal distribution. The results and methods are applied to a real dental clinical trial presented in [A. Hadgu and G. Koch, Application of generalized estimating equations to a dental randomized clinical trial, J. Biopharm. Stat. 9 (1999), pp. 161–178]|
|Subject:||Distribuição normal assimétrica|
|Editor:||Taylor & Francis|
|Appears in Collections:||IMECC - Artigos e Outros Documentos|
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