Robust estimators of high order derivatives of regression functions
We consider robust estimates for the derivatives of order [nu] of the regression function. Uniform consistency, allowing to construct a robust data-driven bandwidth, and asymptotically normality results are established. The asymptotic efficiency of the proposed estimates is that of the related M-estimators.
| Year of publication: |
2006
|
|---|---|
| Authors: | Boente, Graciela ; Rodriguez, Daniela |
| Published in: |
Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 76.2006, 13, p. 1335-1344
|
| Publisher: |
Elsevier |
| Keywords: | Robust estimation Smoothing techniques Bandwidth selectors Kernel weights Asymptotic properties |
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