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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
26/03/1998 |
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Data da última atualização: |
14/12/2010 |
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Autoria: |
BESSE, P. C. |
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Título: |
Models for multivariate data analysis. |
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Ano de publicação: |
1994 |
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Fonte/Imprenta: |
In: DUTTER, R.; GROSSMANN, W. (Ed.). Compstat: proceedings in computational statistics. [Hildeberg]: Physica-Verlag, 1994. |
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Páginas: |
p. 271-285. |
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ISBN: |
3-7908-0793-1 |
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Idioma: |
Inglês |
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Conteúdo: |
This paper reviews some models for exploring multivariate data. If a fixed effect model is used to define a linear Principal Components Analysis (PCA), then risk functions can be defined and issues of metric and dimension optimality addressed. The model is then adapted to define a functional PCA which can be used to the study of smooth sampled curves. Finally, this model is generalised, giving a curvilinear PCA, which attempts to build smooth optimal transformations of data for the purpose of dimension reduction. |
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Palavras-Chave: |
Análise de componentes principais; Análise multivariada; Modelos. |
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Thesagro: |
Estatística. |
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Thesaurus Nal: |
Models; Multivariate analysis; Principal component analysis. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 01207naa a2200229 a 4500
001 1006205
005 2010-12-14
008 1994 bl uuuu u00u1 u #d
020 $a3-7908-0793-1
100 1 $aBESSE, P. C.
245 $aModels for multivariate data analysis.
260 $c1994
300 $ap. 271-285.
520 $aThis paper reviews some models for exploring multivariate data. If a fixed effect model is used to define a linear Principal Components Analysis (PCA), then risk functions can be defined and issues of metric and dimension optimality addressed. The model is then adapted to define a functional PCA which can be used to the study of smooth sampled curves. Finally, this model is generalised, giving a curvilinear PCA, which attempts to build smooth optimal transformations of data for the purpose of dimension reduction.
650 $aModels
650 $aMultivariate analysis
650 $aPrincipal component analysis
650 $aEstatística
653 $aAnálise de componentes principais
653 $aAnálise multivariada
653 $aModelos
773 $tIn: DUTTER, R.; GROSSMANN, W. (Ed.). Compstat: proceedings in computational statistics. [Hildeberg]: Physica-Verlag, 1994.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
