A Berry-Esseen type bound for the kernel density estimator based on a weakly dependent and randomly left truncated data
type: Item
instance of: scholarly article
title: A Berry-Esseen type bound for the kernel density estimator based on a weakly dependent and randomly left truncated data
zbMATH Open document ID: 1356.62050
author: P. Asghari
author: V. Fakoor
published in: Journal of Inequalities and Applications
publication date: 2017-01-04T00:00:00Z
Mathematics Subject Classification ID: 62G07
Mathematics Subject Classification ID: 60F05
Mathematics Subject Classification ID: 62E20
Mathematics Subject Classification ID: 62N01
zbMATH DE Number: 6670317
zbMATH Keywords: left-truncation
zbMATH Keywords: weakly dependent
zbMATH Keywords: asymptotic normality
zbMATH Keywords: Berry-Esseen
zbMATH Keywords: \(\alpha\)-mixing
Wikidata QID: Q36256850
MaRDI profile type: Publication
full work available at URL: s13660-016-1272-0
OpenAlex ID: W2565768870
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DOI: 10.1186/S13660-016-1272-0
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description: scientific article; zbMATH DE number 6670317