Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1152058 | Statistics & Probability Letters | 2013 | 10 Pages |
Abstract
In this paper, we introduce a family of robust statistics which allow to decide between a parametric model and a semiparametric one. More precisely, under a generalized partially linear model, i.e., when the observations satisfy yi|(xi,ti)∼F(⋅,μi) with μi=H(η(ti)+xit β) and HH a known link function, we want to test H0:η(t)=α+γtH0:η(t)=α+γt against H1:ηH1:η is a nonlinear smooth function. A general approach which includes robust estimators based on a robustified deviance or a robustified quasi-likelihood is considered. The asymptotic behavior of the test statistic under the null hypothesis is obtained.
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Graciela Boente, Ricardo Cao, Wenceslao González Manteiga, Daniela Rodriguez,