Berry-Esseen bounds of weighted kernel estimator for a nonparametric regression model based on linear process errors under a LNQD sequence

DOI10.1186/s13660-017-1604-8OpenAlexW2782868650WikidataQ47556760 ScholiaQ47556760MaRDI QIDQ1691316

Yongming Li, Liwang Ding, Ping Chen

Publication date: 15 January 2018

Published in: Journal of Inequalities and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1186/s13660-017-1604-8

zbMATH Keywords

linear processBerry-Esseen boundLNQD sequenceweighted kernel estimator

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05)

Related Items (2)

On Berry-Esseen bound of wavelet estimators in nonparametric regression model under asymptotically negatively associated assumptions ⋮ The Berry-Esseen type bounds of the weighted estimator in a nonparametric model with linear process errors

Cites Work

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• A BERRY-ESSEEN TYPE BOUND OF REGRESSION ESTIMATOR BASED ON LINEAR PROCESS ERRORS
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• Some Concepts of Dependence

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