Title of article :
A Central Limit Theorem for Local Polynomial Backfitting Estimators
Author/Authors :
Wand، نويسنده , , M.P.، نويسنده ,
Issue Information :
دوفصلنامه با شماره پیاپی سال 1999
Pages :
9
From page :
57
To page :
65
Abstract :
Additive models based on backfitting estimators are among the most important recent contributions to modern statistical modelling. However, the statistical properties of backfitting estimators have received relatively little attention. Recently, J.-D. Opsomer and D. Ruppert (1997,Ann. Statist.25, 186-211; 1998,J. Amer. Statist. Assoc.93, 605–619) and J.-D. Opsomer (1997, preprint 96-12, Department of statistics, Iowa State University) derived their mean squared error properties in the case of local polynomial smoothers. In this paper the asymptotic distributional behaviour of backfitting estimators is investigated.
Keywords :
Additive models , Kernel smoothing , Limiting distribution , regression functionals.
Journal title :
Journal of Multivariate Analysis
Serial Year :
1999
Journal title :
Journal of Multivariate Analysis
Record number :
1557586
Link To Document :
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