Classical Lack-of-Fit Tests

  • Jeffrey D. Hart
Part of the Springer Series in Statistics book series (SSS)


We now turn our attention to the problem of testing the fit of a parametric regression model. Ultimately, our purpose is to show how the nonparametric smoothing methods encountered in the previous three chapters can be useful in this regard. We begin, however, by considering some classical methods for checking model fit. This is done to provide some historical perspective and also to facilitate comparisons between smoothing-based and classical methods.


Likelihood Ratio Test Regression Function Fourier Coefficient Unbiased Estimator Null Distribution 
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Copyright information

© Springer Science+Business Media New York 1997

Authors and Affiliations

  • Jeffrey D. Hart
    • 1
  1. 1.Department of StatisticsTexas A&M UniversityCollege StationUSA

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