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.
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© 1997 Springer Science+Business Media New York
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Hart, J.D. (1997). Classical Lack-of-Fit Tests. In: Nonparametric Smoothing and Lack-of-Fit Tests. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-2722-7_5
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DOI: https://doi.org/10.1007/978-1-4757-2722-7_5
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4757-2724-1
Online ISBN: 978-1-4757-2722-7
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