1993Communication in Statistics- Theory and MethodsRequires access

Testing goodness of fit via nonparametric function estimation techniques

R. L. Eubank, Jeffrey D. Hart, V. N. LaRiccia

Open publisher page 43 citations

Abstract

An overview is given of methodology for testing goodness of fit of parametric models using nonparametric function estimation techniques. The ideas are illustrated in two settings: the classical one-sample goodness-of-fit scenario and testing the goodness of fit of a polynomial regression model.

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What this paper is about

An overview is given of methodology for testing goodness of fit of parametric models using nonparametric function estimation techniques. The ideas are illustrated in two settings: the classical one-sample goodness-of-fit scenario and testing the goodness of fit of a polynomial regression model.

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Available abstract

An overview is given of methodology for testing goodness of fit of parametric models using nonparametric function estimation techniques. The ideas are illustrated in two settings: the classical one-sample goodness-of-fit scenario and testing the goodness of fit of a polynomial regression model.

Key concepts: Goodness of fit, Nonparametric statistics, Statistics, Nonparametric regression, Mathematics, Parametric statistics, Function (biology), Polynomial

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