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
β¦ LIBER β¦
An optimal design for the best prediction of a linear regression function
β Scribed by A. Yu. Zaigraev
- Book ID
- 112471396
- Publisher
- Springer
- Year
- 1989
- Tongue
- English
- Weight
- 322 KB
- Volume
- 40
- Category
- Article
- ISSN
- 0041-5995
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