An empirical process central limit theorem for dependent non-identically distributed random variables-Reference-Cited by-同舟云学术

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An empirical process central limit theorem for dependent non-identically distributed random variables

Published:1991-08 Issue:2 Volume:38 Page:187-203
ISSN:0047-259X
Container-title:Journal of Multivariate Analysis
language:en
Short-container-title:Journal of Multivariate Analysis

Author:

Andrews Donald W.K

Publisher

Elsevier BV

Subject

Statistics, Probability and Uncertainty,Numerical Analysis,Statistics and Probability

Reference26 articles.

1. A nearly independent, but non-strong mixing, triangular array;Andrews;J. Appl. Probab.,1985

2. Asymptotics for Semiparametric Econometric Models. I. Estimation and Testing;Andrews,1989

3. Asymptotics for Semiparametric Econometric Models. II. Stochastic Equicontinuity and Nonparametric Kernel Estimation;Andrews,1989

4. A functional central limit theorem for strong mixing stochastic processes;Andrws,1990

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