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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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| 3. |  | CARVALHO, G. M. C.; AZEVEDO, D. M. M. R.; HASSUM, I. C.; CORREIA, L. M.; SILVA, S. A. do N.; RAMOS, A. F.; FALEIRO NETO, J. A.; BASÍLIO, L. M. S. Desenvolvimento de processo de produção de carne de raças taurinas locais brasileiras. In: CONGRESSO BRASILEIRO DE RECURSOS GENÉTICOS, 8., 2024, Pirenópolis, GO. Recursos genéticos para a sustentabilidade frente às mudanças climáticas: [resumos]. Brasília, DF: Sociedade Brasileira de Recursos Genéticos, 2024.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Meio-Norte; Embrapa Recursos Genéticos e Biotecnologia. |
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