Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1150657 | Journal of Statistical Planning and Inference | 2007 | 8 Pages |
Abstract
We use the sinc kernel to construct an estimator for the integrated squared regression function. Asymptotic normality of the estimator at different rates is established, depending on whether the regression function vanishes or not.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Nicolai Bissantz, Hajo Holzmann,