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Complete stability of large order statistics
Authors:Z. F. Li  R. J. Tomkins
Affiliation:(1) Department of Mathematics and Statistics, University of Regina, S4S 0A2, Saskatchewan, Canada
Abstract:Fix an integerrge1. For eachnger, letMnr be the rth largest ofX1,...,Xn, where {Xn,nge1} is a sequence of i.i.d. random variables. Necessary and sufficient conditions are given for the convergence of sumn=rinfinnagrP[|Mnr/an–1|<epsi] for every epsi>0, where {an} is a real sequence and agrge–1. Moreover, it is shown that if this series converges for somerge1 and some agr>–1, then it converges for everyrge1 and every agr>–1.
Keywords:Order statistics  complete convergence    /content/w212gv7446m228lg/xxlarge945.gif"   alt="  agr"   align="  BASELINE"   BORDER="  0"  >-complete stability
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