TESTING GOODNESS-OF-FIT VIA NONPARAMETRIC FUNCTION ESTIMATION TECHNIQUES Academic Article

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. 1993, Taylor & Francis Group, LLC. All rights reserved.

authors

• Hart, Jeffrey

published proceedings

• COMMUNICATIONS IN STATISTICS-THEORY AND METHODS

author list (cited authors)

• EUBANK, R. L., HART, J. D., & LARICCIA, V. N.

citation count

• 34

complete list of authors

• EUBANK, RL||HART, JD||LARICCIA, VN

publication date

• January 1993

publisher

• Taylor & Francis  Publisher

published in

• Communications in Statistics: Theory and Methods  Journal

keywords

• Cramer-vonmises Test
• Data-driven Smoothing
• Fourier Series
• Local Alternatives
• Omnibus Tests
• Smoothing Parameter
• Smoothing Spline

Digital Object Identifier (DOI)

• 10.1080/03610929308831219

start page

• 3327

end page

• 3354

volume

• 22

issue

• 12