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
โฆ LIBER โฆ
Asymptotic distribution of nonparametric estimates of distribution functions under a symmetry condition
โ Scribed by Yu. A. Koshevnik
- Publisher
- Springer US
- Year
- 1988
- Tongue
- English
- Weight
- 840 KB
- Volume
- 40
- Category
- Article
- ISSN
- 1573-8795
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