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Classical Lack-of-Fit Tests

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

Abstract

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.

Keywords

Likelihood Ratio Test Regression Function Fourier Coefficient Unbiased Estimator Null Distribution 
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 1997

Authors and Affiliations

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

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