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Applied Multivariate Analysis in Sar and Environmental Studies - James Devillers - Bog

Bag om Applied Multivariate Analysis in Sar and Environmental Studies

Presentation of correspondence analysis and multiple correspondence analysis with the help of examples..- Multiple factor analysis: a method to analyse several groups of variables measured on the same set of individuals..- Principal component and correspondence analyses with respect to instrumental variables: an overview of their role in studies of structure-activity and species-environment relationships..- Basic procedures in hierarchical cluster analysis..- Interpretation of hierarchical clustering..- Graphical techniques for multidimensional data analysis..- Factor analysis and risk perception..- The use of similarity and clustering techniques for the prediction of molecular properties..- Multivariate analysis of the input and output data in the fugacity model level I..- Multivariate analyses in genetic toxicology..- A structure-biodegradability relationship model by discriminant analysis..- Multivariate image analysis in chemistry: an overview..- Chemical multivariate image analysis: some case studies..- Multilayer neural networks applied to structure-activity relationships..

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9780792312901
  • Indbinding:
  • Hardback
  • Sideantal:
  • 544
  • Udgivet:
  • 31. maj 1991
  • Størrelse:
  • 160x35x241 mm.
  • Vægt:
  • 975 g.
  • 8-11 hverdage.
  • 28. november 2024
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Beskrivelse af Applied Multivariate Analysis in Sar and Environmental Studies

Presentation of correspondence analysis and multiple correspondence analysis with the help of examples..- Multiple factor analysis: a method to analyse several groups of variables measured on the same set of individuals..- Principal component and correspondence analyses with respect to instrumental variables: an overview of their role in studies of structure-activity and species-environment relationships..- Basic procedures in hierarchical cluster analysis..- Interpretation of hierarchical clustering..- Graphical techniques for multidimensional data analysis..- Factor analysis and risk perception..- The use of similarity and clustering techniques for the prediction of molecular properties..- Multivariate analysis of the input and output data in the fugacity model level I..- Multivariate analyses in genetic toxicology..- A structure-biodegradability relationship model by discriminant analysis..- Multivariate image analysis in chemistry: an overview..- Chemical multivariate image analysis: some case studies..- Multilayer neural networks applied to structure-activity relationships..

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