| CROSS-VALIDATION, INFLUENTIAL OBSERVATIONS AND SELECTION OF VARIABLES IN CHEMOMETRIC STUDIES OF WINES BY PRINCIPAL COMPONENTS ANALYSIS |
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| 作者姓名： | GIUSEPPESCARPONI IVOMORET GABRIELECAPODAGLIO MARIO ROMANAZZI |
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| 作者单位： | Cattedra di Chimica Analitica Universita' Ca' Foscari Dorsoduro 2137 I-30123 Venezia Italy，Cattedra di Chimica Analitica Universita' Ca' Foscari Dorsoduro 2137 I-30123 Venezia Italy，Cattedra di Chimica Analitica Universita' Ca' Foscari Dorsoduro 2137 I-30123 Venezia Italy，Laboratorio di Statistica Universita' Ca' Foscari Dorsoduro 3246 I-30123 Venezia Italy |
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| 摘 要： | Cross-validatory estimation of the bilinear model based on principal components is reviewed andKrzanowski's modification of Wold's procedure is described. Two different types of residuals useful forchecking model adequacy are defined and indices measuring the influence of each observed unit on theestimates of the parameters are discussed. A method for the selection of variables derived from Procrustesanalysis is described. Results arising from the study of two sets of enological data are given.
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CROSS-VALIDATION, INFLUENTIAL OBSERVATIONS AND SELECTION OF VARIABLES IN CHEMOMETRIC STUDIES OF WINES BY PRINCIPAL COMPONENTS ANALYSIS |
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| GIUSEPPESCARPONI,IVOMORET,GABRIELECAPODAGLIO,MARIO ROMANAZZI.CROSS-VALIDATION, INFLUENTIAL OBSERVATIONS AND SELECTION OF VARIABLES IN CHEMOMETRIC STUDIES OF WINES BY PRINCIPAL COMPONENTS ANALYSIS[J].Journal of Geographical Sciences,1990(3). |
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| Authors: | GIUSEPPE SCARPONI IVO MORET AND GABRIELE CAPODAGLIO Cattedra di Chimica Analitic Universita' Ca' Foscari Dorsoduro I- Venezi ItalyMARIO ROMANAZZI Laboratorio di Statistic Universita' Ca' Foscari Dorsoduro - Venezi Italy |
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| Abstract: | Cross-validatory estimation of the bilinear model based on principal components is reviewed and Krzanowski's modification of Wold's procedure is described. Two different types of residuals useful for checking model adequacy are defined and indices measuring the influence of each observed unit on the estimates of the parameters are discussed. A method for the selection of variables derived from Procrustes analysis is described. Results arising from the study of two sets of enological data are given. |
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| Keywords: | Principal component Cross-validation Selection of variables Residual Influential observation Procrustes analysis Chemometrics Wine analysis |
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