Open Access
March, 1977 Improvement on Some Known Nonparametric Uniformly Consistent Estimators of Derivatives of a Density
R. S. Singh
Ann. Statist. 5(2): 394-399 (March, 1977). DOI: 10.1214/aos/1176343805

Abstract

Based on a random sample from a univariate distribution with density $f$, this note exhibits a class of kernel estimators of the $p$th order derivative $f^{(p)}$ of $f, p \geqq 0$ fixed. These estimators improve some known estimators of $f^{(p)}$ by weakening the conditions, sharpening the rates of convergence, or both for the properties of strong consistency, asymptotic unbiasedness and mean square consistency, each uniform on the real line.

Citation

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R. S. Singh. "Improvement on Some Known Nonparametric Uniformly Consistent Estimators of Derivatives of a Density." Ann. Statist. 5 (2) 394 - 399, March, 1977. https://doi.org/10.1214/aos/1176343805

Information

Published: March, 1977
First available in Project Euclid: 12 April 2007

zbMATH: 0359.62032
MathSciNet: MR438575
Digital Object Identifier: 10.1214/aos/1176343805

Subjects:
Primary: 62G05

Keywords: $p$th order derivative of a density , nonparametric estimation , rates , Uniform convergence

Rights: Copyright © 1977 Institute of Mathematical Statistics

Vol.5 • No. 2 • March, 1977
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