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dc.contributor.author
Roy, Anuradha  
dc.contributor.author
Leiva, Ricardo Anibal  
dc.date.available
2023-05-29T11:30:30Z  
dc.date.issued
2012-12  
dc.identifier.citation
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  
dc.identifier.issn
0361-0926  
dc.identifier.uri
http://hdl.handle.net/11336/198706  
dc.description.abstract
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.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Taylor & Francis  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
COVARIANCE STRUCTURE  
dc.subject
MAXIMUM LIKELIHOOD ESTIMATES  
dc.subject
REPEATED OBSERVATIONS  
dc.subject.classification
Estadística y Probabilidad  
dc.subject.classification
Matemáticas  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
Classification rules for multivariate repeated measures data with equicorrelated correlation structure on both time and spatial repeated measurements  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2023-05-24T14:25:13Z  
dc.journal.volume
41  
dc.journal.number
8  
dc.journal.pagination
1411-1420  
dc.journal.pais
Reino Unido  
dc.journal.ciudad
Londres  
dc.description.fil
Fil: Roy, Anuradha. University of Texas; Estados Unidos  
dc.description.fil
Fil: Leiva, Ricardo Anibal. Universidad Nacional de Cuyo; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; Argentina  
dc.journal.title
Communications In Statistics-theory And Methods  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.tandfonline.com/doi/abs/10.1080/03610926.2010.530369  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1080/03610926.2010.530369  

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