Bandwidth selection for power optimality in a test of equality of regression curves
We consider the bandwidth selection in a test of equality of regression curves given by King et al. (1991). We propose two sub-sample methods that determine data-based bandwidths maximizing the power while keeping the asymptotic size of the test to be fixed at a given level. The optimality is proved and some simulation results are presented.
| Year of publication: |
1998
|
|---|---|
| Authors: | Kulasekera, K. B. ; Wang, J. |
| Published in: |
Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 37.1998, 3, p. 287-293
|
| Publisher: |
Elsevier |
| Keywords: | Kernel estimator Design variables Nonparametric test |
Saved in:
Saved in favorites
Similar items by person
-
A bound on the 1-error of a nonparametric density estimator with censored data
Kulasekera, K. B., (1995)
-
Identifiability of single-index models and additive-index models
Lin, Wei, (2007)
-
Generalized varying coefficient models with unknown link function
Kuruwita, C. N., (2011)
- More ...