Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1154890 | Statistics & Probability Letters | 2012 | 9 Pages |
Abstract
In this paper, we introduce a semi-functional linear model in which a scalar response variable is explained by a linear operator of a random function and a nonparametric function of a real-valued random variable. We study the spline estimators of the functional coefficient and nonparametric function and obtain the rates of convergence of the spline estimators. Finally, we present some simulation results that illustrate the performance of our estimation method.
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Jianjun Zhou, Min Chen,