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Optimal global rates of convergence ofM-estimates for multivariate nonparametric regression

✍ Scribed by Peide Shi; Xueren Wang

Publisher
Institute of Applied Mathematics, Chinese Academy of Sciences and Chinese Mathematical Society
Year
1995
Tongue
English
Weight
614 KB
Volume
11
Category
Article
ISSN
0168-9673

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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