期刊
JOURNAL OF MULTIVARIATE ANALYSIS
卷 100, 期 1, 页码 152-161出版社
ELSEVIER INC
DOI: 10.1016/j.jmva.2008.04.004
关键词
Longitudinal data; P-splines; Quadratic inference functions; Single-index models
资金
- Natural Science Foundation of China [NSFC10671038]
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. (C) 2008 Elsevier Inc. All rights reserved.
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