| MULTIVARIATE SELECTION OF VARIABLES IN INDUSTRIAL QUALITY CONTROL:OPTIMIZING AVIATION FUEL FINAL CONTROL |
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| 引用本文： | J.M.ANDRADE,D.PRADA,S.MUNIATEGUI Department of Analytical Chemistry,Universidade da Corun,La Zapateir,E- Corun,Spain AND B.GOMEZ,M.PAN Analytical Laboratory,Complejo Industrial Repsol Petróleo S.A.de La Corun,Poligono Bens,Corun,Spain Author to whom correspondence should be addressed.. MULTIVARIATE SELECTION OF VARIABLES IN INDUSTRIAL QUALITY CONTROL:OPTIMIZING AVIATION FUEL FINAL CONTROL[J]. 地理学报(英文版), 1993, 0(5) |
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| 作者姓名： | J.M.ANDRADE D.PRADA S.MUNIATEGUI Department of Analytical Chemistry Universidade da Corun La Zapateir E- Corun Spain AND B.GOMEZ M.PAN Analytical Laboratory Complejo Industrial Repsol Petróleo S.A.de La Corun Poligono Bens Corun Spain Author to whom correspondence should be addressed. |
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| 作者单位： | J.M.ANDRADE;D.PRADA;S.MUNIATEGUI Department of Analytical Chemistry，Universidade da Coruna，La Zapateira，E-15071 Coruna，Spain AND B.GOMEZ;M.PAN Analytical Laboratory，Complejo Industrial Repsol Petróleo S.A.de La Coruna，Poligono Bens，Coruna，Spain Author to whom correspondence should be addressed. |
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| 摘 要： | This paper deals with a typical question encountered in all industrial analytical laboratories:are all thetests performed in the laboratory to characterize the final product really necessary?In this work the cross-validation technique,Procrustes rotation techniques and statistical variable selection have been used toreduce the 26 initial British Petroleum and ASTM kerosene specification tests to ten'essential'ones.Statistical as well as chemical considerations were used to select the optimum subset of original variablesto be retained from all the possible ones.
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MULTIVARIATE SELECTION OF VARIABLES IN INDUSTRIAL QUALITY CONTROL:OPTIMIZING AVIATION FUEL FINAL CONTROL |
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| Abstract: | This paper deals with a typical question encountered in all industrial analytical laboratories:are all the tests performed in the laboratory to characterize the final product really necessary?In this work the cross- validation technique,Procrustes rotation techniques and statistical variable selection have been used to reduce the 26 initial British Petroleum and ASTM kerosene specification tests to ten'essential'ones. Statistical as well as chemical considerations were used to select the optimum subset of original variables to be retained from all the possible ones. |
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| Keywords: | Quality control Kerosene Variable reduction Cross-validation Variable selection Procrustes rotation |
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