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Registro Completo |
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Biblioteca(s): |
Embrapa Agroindústria Tropical. |
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Data corrente: |
12/04/2006 |
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Data da última atualização: |
17/11/2009 |
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Autoria: |
MARTENS, H.; MARTENS, M. |
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Título: |
Multivariate analysis of quality: an introduction. |
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Ano de publicação: |
2001 |
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Fonte/Imprenta: |
Chichester: John Wiley & Sons, 2001. |
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Páginas: |
445 p. |
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ISBN: |
0-471-97428-5 |
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Idioma: |
Português |
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Conteúdo: |
Introduction to multivariate data analysis for understanding quality; Why multivariate data analysis?; Qualimetrics for determining quality; A layman's guide to multivariate data analysis; Some estimation concepts; Analysis of one data table X: principal component analysis; Analysis of two data tables X and Y: partial least squares regression (PLSR); Example of a multivariate calibration project; Interpretation of many types of data X <-> Y: exploring relationships in interdisciplinary data sets; Classification and discrimination X1, X2, X3,...: handling heterogeneous sample sets; Validation X? Y??; Experimental planning Y? X!; Multivariate callibration: quality determination of wheat from high-speed NIR spectra; Analysis of questionnaire data: what determines quality of the working environment?; Analysis of a heterogeneous sample set: predicting toxicity from quantum chemistry; Multivariate statistical process control: quality monitoring of a sugar production process; Design and analysis of controlled experiments: reducing loss of quality in stored food. |
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Palavras-Chave: |
Analise multivariada. |
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Categoria do assunto: |
-- |
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Marc: |
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001 1426118
005 2009-11-17
008 2001 bl uuuu 00u1 u #d
020 $a0-471-97428-5
100 1 $aMARTENS, H.
245 $aMultivariate analysis of quality$ban introduction.
260 $aChichester: John Wiley & Sons$c2001
300 $a445 p.
520 $aIntroduction to multivariate data analysis for understanding quality; Why multivariate data analysis?; Qualimetrics for determining quality; A layman's guide to multivariate data analysis; Some estimation concepts; Analysis of one data table X: principal component analysis; Analysis of two data tables X and Y: partial least squares regression (PLSR); Example of a multivariate calibration project; Interpretation of many types of data X <-> Y: exploring relationships in interdisciplinary data sets; Classification and discrimination X1, X2, X3,...: handling heterogeneous sample sets; Validation X? Y??; Experimental planning Y? X!; Multivariate callibration: quality determination of wheat from high-speed NIR spectra; Analysis of questionnaire data: what determines quality of the working environment?; Analysis of a heterogeneous sample set: predicting toxicity from quantum chemistry; Multivariate statistical process control: quality monitoring of a sugar production process; Design and analysis of controlled experiments: reducing loss of quality in stored food.
653 $aAnalise multivariada
700 1 $aMARTENS, M.
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Registro original: |
Embrapa Agroindústria Tropical (CNPAT) |
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