ON THE ESTIMATION AND PREDICTION IN MIXED LINEAR MODELS

Detalhes bibliográficos
Autor(a) principal: LÓPEZ,L.A.
Data de Publicação: 1998
Outros Autores: IEMMA,A.F.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Scientia Agrícola (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90161998000200019
Resumo: Beginning with the classical Gauss-Markov Linear Model for mixed effects and using the technique of the Lagrange multipliers to obtain an alternative method for the estimation of linear predictors. A structural method is also discussed in order to obtain the variance and covariance matrixes and their inverses.
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spelling ON THE ESTIMATION AND PREDICTION IN MIXED LINEAR MODELSlinear modelmixes effectpredictorestimatorBeginning with the classical Gauss-Markov Linear Model for mixed effects and using the technique of the Lagrange multipliers to obtain an alternative method for the estimation of linear predictors. A structural method is also discussed in order to obtain the variance and covariance matrixes and their inverses.Escola Superior de Agricultura "Luiz de Queiroz"1998-05-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90161998000200019Scientia Agricola v.55 n.2 1998reponame:Scientia Agrícola (Online)instname:Universidade de São Paulo (USP)instacron:USP10.1590/S0103-90161998000200019info:eu-repo/semantics/openAccessLÓPEZ,L.A.IEMMA,A.F.eng1999-02-04T00:00:00Zoai:scielo:S0103-90161998000200019Revistahttp://revistas.usp.br/sa/indexPUBhttps://old.scielo.br/oai/scielo-oai.phpscientia@usp.br||alleoni@usp.br1678-992X0103-9016opendoar:1999-02-04T00:00Scientia Agrícola (Online) - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv ON THE ESTIMATION AND PREDICTION IN MIXED LINEAR MODELS
title ON THE ESTIMATION AND PREDICTION IN MIXED LINEAR MODELS
spellingShingle ON THE ESTIMATION AND PREDICTION IN MIXED LINEAR MODELS
LÓPEZ,L.A.
linear model
mixes effect
predictor
estimator
title_short ON THE ESTIMATION AND PREDICTION IN MIXED LINEAR MODELS
title_full ON THE ESTIMATION AND PREDICTION IN MIXED LINEAR MODELS
title_fullStr ON THE ESTIMATION AND PREDICTION IN MIXED LINEAR MODELS
title_full_unstemmed ON THE ESTIMATION AND PREDICTION IN MIXED LINEAR MODELS
title_sort ON THE ESTIMATION AND PREDICTION IN MIXED LINEAR MODELS
author LÓPEZ,L.A.
author_facet LÓPEZ,L.A.
IEMMA,A.F.
author_role author
author2 IEMMA,A.F.
author2_role author
dc.contributor.author.fl_str_mv LÓPEZ,L.A.
IEMMA,A.F.
dc.subject.por.fl_str_mv linear model
mixes effect
predictor
estimator
topic linear model
mixes effect
predictor
estimator
description Beginning with the classical Gauss-Markov Linear Model for mixed effects and using the technique of the Lagrange multipliers to obtain an alternative method for the estimation of linear predictors. A structural method is also discussed in order to obtain the variance and covariance matrixes and their inverses.
publishDate 1998
dc.date.none.fl_str_mv 1998-05-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90161998000200019
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90161998000200019
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0103-90161998000200019
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Escola Superior de Agricultura "Luiz de Queiroz"
publisher.none.fl_str_mv Escola Superior de Agricultura "Luiz de Queiroz"
dc.source.none.fl_str_mv Scientia Agricola v.55 n.2 1998
reponame:Scientia Agrícola (Online)
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Scientia Agrícola (Online)
collection Scientia Agrícola (Online)
repository.name.fl_str_mv Scientia Agrícola (Online) - Universidade de São Paulo (USP)
repository.mail.fl_str_mv scientia@usp.br||alleoni@usp.br
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