| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1154166 | Statistics & Probability Letters | 2007 | 7 Pages |
Abstract
The functional-coefficient regression models with different smoothing variables in different coefficient functions are discussed in this paper. The averaged estimates of coefficient functions are defined by averaging the sample on the initial value obtained by a local linear technique. Their asymptotic normality is studied. The efficiency of the proposed method is shown by a simulated example.
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Riquan Zhang, Guoying Li,