Brasil | Artículos de revistas

Skew-normal linear calibration: a Bayesian perspective

dc.creatorFIGUEIREDO, Cleber da Costa
dc.creatorSANDOVAL, Monica Carneiro
dc.creatorBOLFARINE, Heleno
dc.creatorLIMA, Claudia Regina O. P.
dc.date.accessioned2012-10-20T04:44:51Z
dc.date.accessioned2018-07-04T15:46:25Z
dc.date.available2012-10-20T04:44:51Z
dc.date.available2018-07-04T15:46:25Z
dc.date.created2012-10-20T04:44:51Z
dc.date.issued2008
dc.identifierJOURNAL OF CHEMOMETRICS, v.22, n.7/Ago, p.472-480, 2008
dc.identifier0886-9383
dc.identifierhttp://producao.usp.br/handle/BDPI/30531
dc.identifier10.1002/cem.1178
dc.identifierhttp://dx.doi.org/10.1002/cem.1178
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1627170
dc.description.abstractIn 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.
dc.languageeng
dc.publisherWILEY-BLACKWELL
dc.relationJournal of Chemometrics
dc.rightsCopyright WILEY-BLACKWELL
dc.rightsrestrictedAccess
dc.subjectGibbs sampler
dc.subjectskewness
dc.subjectskew-normal distribution
dc.subjecthierarchical model
dc.titleSkew-normal linear calibration: a Bayesian perspective
dc.typeArtículos de revistas


Este ítem pertenece a la siguiente institución