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 | Acesso ao texto completo restrito à biblioteca da Embrapa Caprinos e Ovinos. Para informações adicionais entre em contato com cnpc.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Caprinos e Ovinos. |
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Data corrente: |
01/08/1992 |
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Data da última atualização: |
02/07/2025 |
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Autoria: |
HOLLAND, D. A. |
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Título: |
Component analysis: an aid to the interpretation of data. |
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Ano de publicação: |
1969 |
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Fonte/Imprenta: |
Experimental Agriculture, v. 5, n. 4, p. 151-164, Apr. 1969. |
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DOI: |
https://doi.org/10.1017/S0014479700004373 |
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Idioma: |
Inglês |
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Conteúdo: |
Principal component analysis is a mathematical technique for summarizing a set of related measurements as a set of derived variates, frequently fewer in number, which are definable as independent linear functions of the original measurements. Consideration of their mathematical nature shows that they do not, themselves, necessarily correspond to sensible biological concepts, though they are more amenable to statistical study than the original measurements. Further, by assessing the extent to which they are in accordance with biological hypotheses, or with the results of other, similar, analyses, they can be transformed into other linear functions which are meaningful in the biological sense, or consistent with other results. Thus the specific technique of principal component analysis is developed into a more general component analysis approach. With proper regard for the purpose the analysis is intended to serve and for the mathematical restrictions involved, this approach can lead to a useful condensation of a mass of data, a better under-standing of the observed individuals as entities rather than collections of isolated measurements, and to the formulation of new hypotheses for subsequent examination. |
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Palavras-Chave: |
Estatistica matematica. |
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Thesagro: |
Estatística. |
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Thesaurus Nal: |
Linear models; Mathematical models; Mathematics and statistics; Statistics. |
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Categoria do assunto: |
E Economia e Indústria Agrícola |
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Marc: |
LEADER 01855naa a2200205 a 4500
001 1520379
005 2025-07-02
008 1969 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1017/S0014479700004373$2DOI
100 1 $aHOLLAND, D. A.
245 $aComponent analysis$ban aid to the interpretation of data.$h[electronic resource]
260 $c1969
520 $aPrincipal component analysis is a mathematical technique for summarizing a set of related measurements as a set of derived variates, frequently fewer in number, which are definable as independent linear functions of the original measurements. Consideration of their mathematical nature shows that they do not, themselves, necessarily correspond to sensible biological concepts, though they are more amenable to statistical study than the original measurements. Further, by assessing the extent to which they are in accordance with biological hypotheses, or with the results of other, similar, analyses, they can be transformed into other linear functions which are meaningful in the biological sense, or consistent with other results. Thus the specific technique of principal component analysis is developed into a more general component analysis approach. With proper regard for the purpose the analysis is intended to serve and for the mathematical restrictions involved, this approach can lead to a useful condensation of a mass of data, a better under-standing of the observed individuals as entities rather than collections of isolated measurements, and to the formulation of new hypotheses for subsequent examination.
650 $aLinear models
650 $aMathematical models
650 $aMathematics and statistics
650 $aStatistics
650 $aEstatística
653 $aEstatistica matematica
773 $tExperimental Agriculture$gv. 5, n. 4, p. 151-164, Apr. 1969.
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Embrapa Caprinos e Ovinos (CNPC) |
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| Registros recuperados : 4 | |
| 1. |  | HOFFMANN, L. L.; ROTT, M. A. O.; ALMEIDA, A. M. R. Ocorrência de C MMV (Cowpea mild mosaic virus) em soja no Paraná. Fitopatologia Brasileira, Brasília, v. 28, p. S249-250, ago. 2003. Suplemento. Resumo 235. Edição do XXXVI Congresso Brasileiro de Fitopatologia, Uberlândia, MG, ago. 2003.| Biblioteca(s): Embrapa Soja. |
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| 2. | | ALMEIDA, A. M. R.; GUERZONI, R. S.; NUNES JUNIOR, J.; MEYER, M. C.; HOFFMANN, L. L.; OLIVEIRA, T. G.; PIUGA, F. F. Expansão do vírus da necrose da haste da soja e identificação de cultivares resistentes. Fitopatologia Brasileira, Brasília, v. 28, p. S287-288, ago. 2003. Suplemento. Resumo 407. Edição do XXXVI Congresso Brasileiro de Fitopatologia, Uberlândia, MG, ago. 2003.| Biblioteca(s): Embrapa Soja. |
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| 3. | | LAURINDO, D. G.; SOLDERA, M. C. A.; BALESTRI, M. R. D.; HOFFMANN, L. L.; MEYER, M. C.; ALMEIDA, A. M. R. Identificação do Cowpea mild mottle virus em soja no município de Sorriso, Mato Grosso. In: JORNADA ACADÊMICA DA EMBRAPA SOJA, 3., 2008, Londrina. Resumos expandidos... Londrina: Embrapa Soja, 2008. p. 26-30 (Embrapa Soja. Documentos, 297).| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Soja. |
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| 4. | | LAURINDO, D. G.; SOLDERA, M. C. A.; BALESTRI, M. R. D.; HOFFMANN, L. L.; MEYER, M. C.; ALMEIDA, A. M. R. Identificação do Cowpea mild mottle virus em soja no município de Sorriso, MT. Fitopatologia Brasileira, Brasília, DF, v. 32, p. S227, ago. 2007. Suplemento, resumo 0589. Edição dos Resumos do XL Congresso Brasileiro de Fitopatologia, Maringá, PR, ago. 2007.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: Nacional - A |
| Biblioteca(s): Embrapa Soja. |
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| Registros recuperados : 4 | |
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| Nenhum registro encontrado para a expressão de busca informada. |
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