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EXPERIMENTAL DESIGN IN CHEMOMETRICS
作者姓名:STANLEY  N.DEMING  JOHN  A.PALASOTA  JOSEPHINE  M.PALASOTA
作者单位:STANLEY N.DEMING JOHN A.PALASOTA JOSEPHINE M.PALASOTA Department of Chemistry University of Houston,4800 Calhoun Road,Houston,TX 77204-5641,U.S.A.
摘    要:Chemometrics is defined as the application of mathematical and statistical methods to chemical systems.Systems theory is seen to be useful for organizing and categorizing the inputs to and outputs fromchemical systems.Advances in measurement science in the 1950s and 1960s,particularly in analyticalchemistry,created a need for a multivariate approach to data analysis.Early chemometrics emphasizedthe use of structure-finding methods for existing data sets.In many instances,data sets can be obtainedfrom designed experiments.Such data sets are more likely to contain the desired information and the datacan usually be acquired at less cost.Renewed interest in statistical process control will provide many new,more robust data sets in the future.


EXPERIMENTAL DESIGN IN CHEMOMETRICS
STANLEY N.DEMING JOHN A.PALASOTA JOSEPHINE M.PALASOTA.EXPERIMENTAL DESIGN IN CHEMOMETRICS[J].Journal of Geographical Sciences,1991(3).
Authors:STANLEY NDEMING JOHN APALASOTA JOSEPHINE MPALASOTA
Institution:STANLEY N.DEMING JOHN A.PALASOTA JOSEPHINE M.PALASOTA Department of Chemistry University of Houston,Calhoun Roa,Houston,TX -,U.S.A.
Abstract:Chemometrics is defined as the application of mathematical and statistical methods to chemical systems. Systems theory is seen to be useful for organizing and categorizing the inputs to and outputs from chemical systems.Advances in measurement science in the 1950s and 1960s,particularly in analytical chemistry,created a need for a multivariate approach to data analysis.Early chemometrics emphasized the use of structure-finding methods for existing data sets.In many instances,data sets can be obtained from designed experiments.Such data sets are more likely to contain the desired information and the data can usually be acquired at less cost.Renewed interest in statistical process control will provide many new, more robust data sets in the future.
Keywords:Chemometrics  Systems theory  Experimental design  Multivariate analysis  Measurement science
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