Artículos de revistas
Skew-normal linear calibration: a Bayesian perspective
Date
2008Registration in:
JOURNAL OF CHEMOMETRICS, v.22, n.7/Ago, p.472-480, 2008
0886-9383
10.1002/cem.1178
Author
FIGUEIREDO, Cleber da Costa
SANDOVAL, Monica Carneiro
BOLFARINE, Heleno
LIMA, Claudia Regina O. P.
Institutions
Abstract
In this paper, we present a Bayesian approach for estimation in the skew-normal calibration model, as well as the conditional posterior distributions which are useful for implementing the Gibbs sampler. Data transformation is thus avoided by using the methodology proposed. Model fitting is implemented by proposing the asymmetric deviance information criterion, ADIC, a modification of the ordinary DIC. We also report an application of the model studied by using a real data set, related to the relationship between the resistance and the elasticity of a sample of concrete beams. Copyright (C) 2008 John Wiley & Sons, Ltd.