Flexible Parsimonious Smoothing and Additive Modeling

Article

Friedman, Jerome H.; Silverman, Bernard W.   (1989, ASQC and the American Statistical Association)   Stanford University, Stanford, CA; University of Bath, United Kingdom

Technometrics    Vol. 31    No. 1
QICID: 9377    February 1989    pp. 3-21
List $10.00
Member $5.00

This article is not available online. Contact us to receive a scan of the archive, in PDF format.
New to ASQ? REGISTER HERE.

Article Abstract

A simple method is presented for fitting regression models that are nonlinear in the explanatory variables. Despite its simplicity - or perhaps because of it - the method has some powerful characteristics that cause it to be competitive with and often superior to more sophisticated techniques, especially for small data sets in the presence of high noise.

Keywords

Validation,Knot position,Linear models,Regression analysis


Browse QIC Articles Chronologically:     Previous Article     Next Article

New Search

Featured advertisers





ASQ is a global community of people passionate about quality, who use the tools, their ideas and expertise to make our world work better. ASQ: The Global Voice of Quality.