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April, 1979 Empirical Processes: A Survey of Results for Independent and Identically Distributed Random Variables
Peter Gaenssler, Winfried Stute
Ann. Probab. 7(2): 193-243 (April, 1979). DOI: 10.1214/aop/1176995085

Abstract

We consider a sequence $\xi_1, \xi_2, \cdots$ of independent and identically distributed random observations. Let $\mu_n$ denote the empirical distribution for the sample $\{\xi_1, \cdots, \xi_n\}$. It is the aim of the present article to give a survey of various results in the theory of empirical distributions and empirical processes. Special emphasis is given to the developments of the last ten years.

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Peter Gaenssler. Winfried Stute. "Empirical Processes: A Survey of Results for Independent and Identically Distributed Random Variables." Ann. Probab. 7 (2) 193 - 243, April, 1979. https://doi.org/10.1214/aop/1176995085

Information

Published: April, 1979
First available in Project Euclid: 19 April 2007

zbMATH: 0402.60031
MathSciNet: MR525051
Digital Object Identifier: 10.1214/aop/1176995085

Subjects:
Primary: 62D05
Secondary: 60B10 , 60E20 , 60F05 , 60F10 , 60F15 , 60K99 , 62E15

Keywords: 60-02 , Empirical distribution , empirical process , Glivenko-Cantelli convergence , invariance principle , LIL's for empirical processes , random sample size , rates of convergence , strong approximation , weighted empirical process

Rights: Copyright © 1979 Institute of Mathematical Statistics

Vol.7 • No. 2 • April, 1979
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