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
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Authors: | Kulasekera, K. B. ; Wang, J. |
Published in: |
Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 37.1998, 3, p. 287-293
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Publisher: |
Elsevier |
Keywords: | Kernel estimator Design variables Nonparametric test |
Saved in:
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