On \(m\)-dependence and Edgeworth expansions
type: Item
instance of: scholarly article
title: On \(m\)-dependence and Edgeworth expansions
zbMATH Open document ID: 0802.62019
DOI: 10.1007/BF00773600
author: Wei-Liem Loh
published in: Annals of the Institute of Statistical Mathematics
publication date: 1994-12-12T00:00:00Z
Mathematics Subject Classification ID: 62E20
Mathematics Subject Classification ID: 62G20
zbMATH DE Number: 681369
zbMATH Keywords: U-statistic
zbMATH Keywords: m-dependent shift
zbMATH Keywords: sum of m-dependent random variables
zbMATH Keywords: Edgeworth expansion
zbMATH Keywords: kernel of degree two
zbMATH Keywords: necessary and sufficient condition
MaRDI profile type: Publication
cites work: Edgeworth expansions in nonparametric statistics
cites work: Edgeworth expansions and smoothness
cites work: The Edgeworth expansion for U-statistics of degree two
cites work: The Berry-Esseen theorem for U-statistics
cites work: An Edgeworth expansion for U-statistics
cites work: On the Berry-Esseen theorem for U-statistics
cites work: Q5624436
cites work: Asymptotic expansions for sums of weakly dependent random vectors
cites work: Convergence rates for U-statistics and related statistics
cites work: A method for the derivation of limit theorems for sums of m-dependent random variables
cites work: Non-Uniform Estimates and Asymptotic Expansions of the Remainder in the Central Limit Theorem form-Dependent Random Variables
cites work: Some Remarks on Asymptotic Expansions in the Central Limit Theorem form-Dependent Random Variables
cites work: A Class of Statistics with Asymptotically Normal Distribution
cites work: An Edgeworth expansion for U-statistics based on samples from finite populations
cites work: On asymptotic normality for M-dependent U-statistics
cites work: On the Convergence Rate in the Central Limit Theorem for Weakly Dependent Random Variables
cites work: Q3678460
cites work: Q3816772
description: scientific article; zbMATH DE number 681369