Estimating a shift in nonparametric regression via U-statistics
β Scribed by Anton Schick
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 763 KB
- Volume
- 67
- Category
- Article
- ISSN
- 0378-3758
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β¦ Synopsis
In this paper, we minimize a ratio of two U-statistics to construct consistent and asymptotically normal estimates of the shift parameter in a two-sample regression model with nonparametric regression curves that are the same up to a shift parameter in the horizontal axis. (E) 1998 Elsevier Science B.V. All rights reserved.
π SIMILAR VOLUMES
For the problem of checking linearity in a heteroscedastic nonparametric regression model under a ΓΏxed design assumption, we study maximin designs which maximize the minimum power of a nonparametric test over a broad class of alternatives from the assumed linear regression model. It is demonstrated