Artículo

Classification rules for multivariate repeated measures data with equicorrelated correlation structure on both time and spatial repeated measurements

Roy, Anuradha; Leiva, Ricardo AnibalIcon
Fecha de publicación: 12/2012
Editorial: Taylor & Francis
Revista: Communications In Statistics-theory And Methods
ISSN: 0361-0926
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:

Resumen

We study the problem of classification for multivariate repeated measures data with structured correlations on both time and spatial repeated measurements. This is a very important problem in many biomedical as well as in engineering field. Classification rules as well as the algorithm to compute the maximum likelihood estimates of the required parameters are given.
Palabras clave: COVARIANCE STRUCTURE , MAXIMUM LIKELIHOOD ESTIMATES , REPEATED OBSERVATIONS
 
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info:eu-repo/semantics/openAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/198706
URL: https://www.tandfonline.com/doi/abs/10.1080/03610926.2010.530369
DOI: http://dx.doi.org/10.1080/03610926.2010.530369
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Articulos(CCT - MENDOZA)
Articulos de CTRO.CIENTIFICO TECNOL.CONICET - MENDOZA
Citación
Roy, Anuradha; Leiva, Ricardo Anibal; Classification rules for multivariate repeated measures data with equicorrelated correlation structure on both time and spatial repeated measurements; Taylor & Francis; Communications In Statistics-theory And Methods; 41; 8; 12-2012; 1411-1420
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