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Central limit theorems for quadratic errors of nonparametric estimators

✍ Scribed by Tae Yoon Kim

Publisher
Elsevier Science
Year
1997
Tongue
English
Weight
390 KB
Volume
64
Category
Article
ISSN
0378-3758

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✦ Synopsis

Hall [J. Multivariate Anal. 14 (1984) 1-16; Ann. Statist. 12 (1984) 241 260] established central limit theorems for the integrated square errors of multivariate nonparametric function estimators. In this article, we extend his results and derive central limit theorems for the averaged square errors of nonparametric function estimators.

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