Some Problems Associated with the Analysis of Multiresponse Data

  • Box G
  • Hunter W
  • Macgregor J
 et al. 
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Experience has shown that unless special care is exercised in analyzing multiresponse data serious mistakes can be made. In this paper some problems associated with fitting multiresponse models are identified and discussed. In particular, three kinds of depend- encies are considered: dependence among the errors, linear dependencies among the expected values of the responses, and linear dependencies in the data. Since ignoring such dependencies can lead to difficulties, a method is described for detecting and handling them. The concepts involved are illustrated with a chemical example.

Author-supplied keywords

  • Chemical kinetics
  • Eigenvalue-Eigenvector analysis
  • Estimation
  • Linear dependencies
  • Multiresponse data
  • Multivariate data
  • Nonlinear models

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  • G. E.P. Box

  • W. G. Hunter

  • J. F. Macgregor

  • J. Erjavec

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