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Abstract Details

Activity Number: 353
Type: Contributed
Date/Time: Tuesday, July 31, 2012 : 10:30 AM to 12:20 PM
Sponsor: Section on Nonparametric Statistics
Abstract - #305275
Title: Model Testing in Partially Linear Models
Author(s): Lynn Waterhouse*+ and Michael G. Akritas
Companies: Penn State University and Penn State University
Address: 326 Thomas Building, University Park, PA, 16802, United States
Keywords: partially linear models ; sliced inverse regression ; Monte Carlo ; model testing

In a partially linear model some covariates have a linear effect, while the effect of others may be nonlinear. We perform Monte Carlo comparisons of methods for testing the significance of covariates with (possibly) nonlinear effects. Two of the methods are based on the sliced inverse regression procedure of Li (1991). The other is an ANOVA-type procedure modeled after Wang, Akritas, and Van Keilegom (2008).

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