Bayesian inference for skew-normal linear mixed models
dc.contributor.author | Arellano Valle, R. B. | |
dc.contributor.author | Bolfarine, H. | |
dc.contributor.author | Lachos, V. H. | |
dc.date.accessioned | 2024-01-10T12:37:46Z | |
dc.date.available | 2024-01-10T12:37:46Z | |
dc.date.issued | 2007 | |
dc.description.abstract | Linear mixed models (LMM) are frequently used to analyze repeated measures data, because they are more flexible to modelling the correlation within-subject, often present in this type of data. The most popular LMM for continuous responses assumes that both the random effects and the within-subjects errors are normally distributed, which can be an unrealistic assumption, obscuring important features of the variations present within and among the units ( or groups). This work presents skew-normal liner mixed models (SNLMM) that relax the normality assumption by using a multivariate skew-normal distribution, which includes the normal ones as a special case and provides robust estimation in mixed models. The MCMC scheme is derived and the results of a simulation study are provided demonstrating that standard information criteria may be used to detect departures from normality. The procedures are illustrated using a real data set from a cholesterol study. | |
dc.fechaingreso.objetodigital | 2024-05-08 | |
dc.format.extent | 20 páginas | |
dc.fuente.origen | WOS | |
dc.identifier.doi | 10.1080/02664760701236905 | |
dc.identifier.eissn | 1360-0532 | |
dc.identifier.issn | 0266-4763 | |
dc.identifier.uri | https://doi.org/10.1080/02664760701236905 | |
dc.identifier.uri | https://repositorio.uc.cl/handle/11534/76920 | |
dc.identifier.wosid | WOS:000248859600002 | |
dc.information.autoruc | Matemática;Arellano-Valle R;S/I;58107 | |
dc.issue.numero | 6 | |
dc.language.iso | en | |
dc.nota.acceso | contenido parcial | |
dc.pagina.final | 682 | |
dc.pagina.inicio | 663 | |
dc.publisher | TAYLOR & FRANCIS LTD | |
dc.revista | JOURNAL OF APPLIED STATISTICS | |
dc.rights | acceso restringido | |
dc.subject | Bayesian inference | |
dc.subject | MCMC | |
dc.subject | Gibbs sampler | |
dc.subject | multivariate skew-normal distribution | |
dc.subject | skewness | |
dc.subject | DISTRIBUTIONS | |
dc.subject.ods | 03 Good Health and Well-being | |
dc.subject.odspa | 03 Salud y bienestar | |
dc.title | Bayesian inference for skew-normal linear mixed models | |
dc.type | artículo | |
dc.volumen | 34 | |
sipa.codpersvinculados | 58107 | |
sipa.index | WOS | |
sipa.index | Scopus | |
sipa.trazabilidad | Carga SIPA;09-01-2024 |
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