Asymptotic normality of nonparametric es
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Eckhard Liebscher
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Article
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1999
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Elsevier Science
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English
β 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