On the Berry-Esséen bound of frequency polygons for \(\phi\)-mixing samples
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Publication:522521
DOI10.1186/S13660-017-1336-9zbMath1361.60017OpenAlexW2602532044WikidataQ37719189 ScholiaQ37719189MaRDI QIDQ522521
Publication date: 18 April 2017
Published in: Journal of Inequalities and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1186/s13660-017-1336-9
Asymptotic properties of nonparametric inference (62G20) Central limit and other weak theorems (60F05)
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Cites Work
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- The Berry-Esseen bounds for kernel density estimator under dependent sample
- Asymptotic normality of frequency polygons for random fields
- Frequency polygons for weakly dependent processes
- Uniformly asymptotic normality of the regression weighted estimator for negatively associated samples.
- On the uniform consistency of frequency polygons for \(\psi\)-mixing samples
- On the Central Limit Theorem for $\varphi$-Mixing Arrays of Random Variables
- Frequency Polygons: Theory and Application
- Moment inequalities for mixing sequences of random variables
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