| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1151412 | Statistics & Probability Letters | 2015 | 6 Pages |
Abstract
We consider nonparametric regression models in which the regression function is a step function, and construct a convolution estimator for the response density that has the same bias as the usual estimators based on the responses, but a smaller asymptotic variance.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Ursula U. Müller, Anton Schick, Wolfgang Wefelmeyer,