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Nonparametric Estimation of Variance Function for Functional Data Under Mixing Conditions

โœ Scribed by Hu, Yuao


Book ID
127160409
Publisher
Taylor and Francis Group
Year
2013
Tongue
English
Weight
202 KB
Volume
42
Category
Article
ISSN
0361-0926

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โœ Eckhard Liebscher ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 103 KB

In this paper we derive central limit theorems for three types of nonparametric estimators: kernel density estimators, Hermite series estimators and regression estimators. We assume that the sample is a part of a stationary sequence satisfying an -mixing property. The proofs are based on a central l