Article ID Journal Published Year Pages File Type
1146851 Journal of Multivariate Analysis 2009 10 Pages PDF
Abstract

In this paper, we focus on single-index models for longitudinal data. We propose a procedure to estimate the single-index component and the unknown link function based on the combination of the penalized splines and quadratic inference functions. It is shown that the proposed estimation method has good asymptotic properties. We also evaluate the finite sample performance of the proposed method via Monte Carlo simulation studies. Furthermore, the proposed method is illustrated in the analysis of a real data set.

Related Topics
Physical Sciences and Engineering Mathematics Numerical Analysis
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