Diagnostics of model misspecification

  • Sylvie Huet
  • Annie Bouvier
  • Marie-Anne Gruet
  • Emmanuel Jolivet
Part of the Springer Series in Statistics book series (SSS)

Abstract

In section 1.2, we denoted the true regression relationship between Y and x by µ(x), and we noted that µ(x) is generally unknown, although in practice it is approximated by a parametric function f (x, θ). Because we use this f to make some statistical inferences, however, we must be able to determine whether or not our choice of f is accurate.

Keywords

Variance Function Regression Function Sensitivity Function Constant Variance Standardize Residual 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 1996

Authors and Affiliations

  • Sylvie Huet
    • 1
  • Annie Bouvier
    • 1
  • Marie-Anne Gruet
    • 1
  • Emmanuel Jolivet
    • 2
  1. 1.INRA Laboratoire de BiométrieJouy-en-Josas CedexFrance
  2. 2.INRA SESAMESParis Cedex 07France

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