Adaptive kernel-type estimator for square-integrable distribution density
type: Item
instance of: scholarly article
title: Adaptive kernel-type estimator for square-integrable distribution density
zbMATH Open document ID: 0646.62032
DOI: 10.1007/BF00971911
author: A. Kazbaras
published in: Lithuanian Mathematical Journal
publication date: 1986-01-01T00:00:00Z
review text: Here an adaptive kernel-type estimator of distribution density is considered. For a certain class of densities it is shown that the mean integrated square error (MISE) of the considered estimator is asymptotically equal to the minimum MISE in the class of all possible kernel-type estimators with kernels independent of the sample.
Mathematics Subject Classification ID: 62G05
zbMATH DE Number: 4054810
zbMATH Keywords: density estimation
zbMATH Keywords: minimum mean integrated square error
zbMATH Keywords: square- integrable density
zbMATH Keywords: adaptive kernel-type estimator
MaRDI profile type: Publication
cites work: Q3668647
cites work: Mean integrated square error properties of density estimates
cites work: Q3716051
cites work: On Estimation of a Probability Density Function and Mode
cites work: On the Estimation of the Probability Density, I
description: scientific article; zbMATH DE number 4054810