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Optimal Design for Estimation of Variance in Nonparametric Regression Using First Order Differences

✍ Scribed by Ling-Yau Chan

Book ID
124299742
Publisher
Oxford University Press
Year
1991
Tongue
English
Weight
364 KB
Volume
78
Category
Article
ISSN
0006-3444

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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