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Activity Number: 142
Type: Contributed
Date/Time: Monday, August 7, 2006 : 10:30 AM to 12:20 PM
Sponsor: Section on Nonparametric Statistics
Abstract - #306408
Title: Some Diagnostic Methods for Choosing the Degree of Smoothing in Nonparametric Regression
Author(s): Craig Andres*+ and Robert Kushler
Companies: Kettering University and Oakland University
Address: , , ,
Keywords: nonparametric regression ; smoothing parameter selection ; diagnostics
Abstract:

Automated methods for selection of the smoothing parameter in nonparametric regression modeling, such as (generalized) cross validation, occasionally result in overfitting the data. Some diagnostic techniques for detecting when this is happening, and some alternative methods for smoothing parameter selection, will be discussed.

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