Addressing non-normality in multivariate analysis using the t-distribution
dc.catalogador | aba | |
dc.contributor.author | Osorio, Felipe | |
dc.contributor.author | Galea Rojas, Manuel Jesús | |
dc.contributor.author | Henríquez, Claudio | |
dc.contributor.author | Arellano Valle, Reinaldo Boris | |
dc.date.accessioned | 2024-04-18T20:03:32Z | |
dc.date.available | 2024-04-18T20:03:32Z | |
dc.date.issued | 2023 | |
dc.description.abstract | The main aim of this paper is to propose a set of tools for assessing non-normality taking into consideration the class of multivariate t-distributions. Assuming second moment existence, we consider a reparameterized version of the usual t distribution, so that the scale matrix coincides with covariance matrix of the distribution. We use the local influence procedure and the Kullback–Leibler divergence measure to propose quantitative methods to evaluate deviations from the normality assumption. In addition, the possible non-normality due to the presence of both skewness and heavy tails is also explored. Our findings based on two real datasets are complemented by a simulation study to evaluate the performance of the proposed methodology on finite samples. | |
dc.description.funder | Comisión Nacional de Investigación Científica y Tecnológica | |
dc.description.funder | FONDECYT | |
dc.fechaingreso.objetodigital | 2024-09-11 | |
dc.fuente.origen | SCOPUS | |
dc.fuente.origen | ORCID | |
dc.identifier.doi | 10.1007/s10182-022-00468-2 | |
dc.identifier.eissn | 1863-818X | |
dc.identifier.issn | 1863-8171 | |
dc.identifier.scopusid | SCOPUS_ID:85146567536 | |
dc.identifier.uri | https://www.springer.com/journal/10182 | |
dc.identifier.uri | https://doi.org/10.1007/s10182-022-00468-2 | |
dc.identifier.uri | https://repositorio.uc.cl/handle/11534/85240 | |
dc.information.autoruc | Facultad de Matemáticas; Galea Rojas, Manuel Jesús; 0000-0001-9819-5843; 1008589 | |
dc.information.autoruc | Facultad de Matemáticas; Henríquez, Claudio; S/I; 250581 | |
dc.information.autoruc | Facultad de Matemáticas; Arellano Valle, Reinaldo Boris; S/I; 58107 | |
dc.language.iso | en | |
dc.nota.acceso | contenido parcial | |
dc.pagina.final | 813 | |
dc.pagina.inicio | 785 | |
dc.revista | AStA Advances in Statistical Analysis | |
dc.rights | acceso restringido | |
dc.subject | Kullback–Leibler divergence | |
dc.subject | Local influence | |
dc.subject | Negentropy | |
dc.subject | Outliers | |
dc.subject.ddc | 510 | |
dc.subject.dewey | Matemática física y química | es_ES |
dc.title | Addressing non-normality in multivariate analysis using the t-distribution | |
dc.type | artículo | |
dc.volumen | 107 | |
sipa.codpersvinculados | 1008589 | |
sipa.codpersvinculados | 250581 | |
sipa.codpersvinculados | 58107 | |
sipa.trazabilidad | SCOPUS;02-03-2023 | |
sipa.trazabilidad | ORCID;2024-04-15 |
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