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Original Articles

Nonparametric regression estimators in complex surveys

, &
Pages 1026-1034 | Received 01 Aug 2013, Accepted 24 Oct 2013, Published online: 21 Nov 2013
 

Abstract

In this article, we extend smoothing splines to model the regression mean structure when data are sampled through a complex survey. Smoothing splines are evaluated both with and without sample weights, and are compared with local linear estimator. Simulation studies find that nonparametric estimators perform better when sample weights are incorporated, rather than being treated as if iid. They also find that smoothing splines perform better than local linear estimator through completely data-driven bandwidth selection methods.

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