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Bounds for the Concentration of Asymptotically Normal Statistics
Authors:I. B. Alberink  V. Bentkus
Affiliation:(1) Department of Mathematics, University of Nijmegen, Postbus 9010, 6500 GL Nijmegen, The Netherlands, e-mail;(2) Fakultät für Mathematik, Universität Bielefeld, Postfach 100131, 33501 Bielefeld, Germany. e-mail
Abstract:
Let X1,..., Xn be independent, not necessarily identically distributed random variables. An optimal bound is derived for the concentration function of an arbitrary real-valued statistic T = T (X1,...,Xn) for which ET2 < infin. Applications are given for Wilcoxon"s rank-sum statistic, U-statistics, Student"s statistic, the two-sample Student statistic and linear regression.
Keywords:concentration function  non-i.i.d. sampling  nonsymmetric and symmetric statistics  U-statistics  Wilcoxon"  s rank-sum test  (two-sample) Student"  s statistic  linear regression
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