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