| USE OF REPLICATION AND SIGNAL-TO-NOISE RATIOS IN THE IDENTIFICATION AND ESTIMATION OF THE COMPOSITION OF LUBRICANT BASESTOCK MIXTURES USING ~(13)C NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY AND PROJECTION INTO PRINCIPAL COMPONENT/CANONICAL VARIATES SPACE |
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| 引用本文： | JOHNM.DEANE,HALLIDAYJ.H.MacFIE,ALEXANDERG.KING. USE OF REPLICATION AND SIGNAL-TO-NOISE RATIOS IN THE IDENTIFICATION AND ESTIMATION OF THE COMPOSITION OF LUBRICANT BASESTOCK MIXTURES USING ~(13)C NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY AND PROJECTION INTO PRINCIPAL COMPONENT/CANONICAL VARIATES SPACE[J]. 地理学报(英文版), 1989, 0(1) |
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| 作者姓名： | JOHNM.DEANE HALLIDAYJ.H.MacFIE ALEXANDERG.KING |
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| 作者单位： | AFRC Institute of Food Research Bristol Laboratory Langford Bristol BS18 7DY U.K.，AFRC Institute of Food Research Bristol Laboratory Langford Bristol BS18 7DY U.K.，Esso Research Centre Abingdon Oxfordshire OX13 6AE U.K. |
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| 摘 要： | The theory of experimental error in analysis of mixture experiments by abstract factor analysis or targettransformation factor analysis is considered. The theoretical implications of using signal-to-noise ratios(as weights) or canonical variates analysis to reduce the level of imbedded error in the factor model areexamined. The approach is illustrated by application to ~(13)C NMR spectra of lubricant basestockmixtures.
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USE OF REPLICATION AND SIGNAL-TO-NOISE RATIOS IN THE IDENTIFICATION AND ESTIMATION OF THE COMPOSITION OF LUBRICANT BASESTOCK MIXTURES USING ~(13)C NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY AND PROJECTION INTO PRINCIPAL COMPONENT/CANONICAL VARIATES S |
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| JOHN M. DEANE,HALLIDAY J. H. MacFIE,AFRC Institute of Food Research,Bristol Laboratory,Langfor,Bristol BSI DY,U.K.ALEXANDER G. KING,Esso Research Centre,Abingdon,Oxfordshire OXI AE,U.K.. USE OF REPLICATION AND SIGNAL-TO-NOISE RATIOS IN THE IDENTIFICATION AND ESTIMATION OF THE COMPOSITION OF LUBRICANT BASESTOCK MIXTURES USING ~(13)C NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY AND PROJECTION INTO PRINCIPAL COMPONENT/CANONICAL VARIATES S[J]. Journal of Geographical Sciences, 1989, 0(1) |
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| Authors: | JOHN M. DEANE HALLIDAY J. H. MacFIE AFRC Institute of Food Research Bristol Laboratory Langfor Bristol BSI DY U.K.ALEXANDER G. KING Esso Research Centre Abingdon Oxfordshire OXI AE U.K. |
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| Abstract: | The theory of experimental error in analysis of mixture experiments by abstract factor analysis or target transformation factor analysis is considered. The theoretical implications of using signal-to-noise ratios (as weights) or canonical variates analysis to reduce the level of imbedded error in the factor model are examined. The approach is illustrated by application to ~(13)C NMR spectra of lubricant basestock mixtures. |
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| Keywords: | Abstract factor analysis Target transformation factor analysis Signal-to-noise ratios Canonical variates analysis ~(13)CNMR spectroscopy Mixture constituent identification and estimation |
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