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WROCŁAW UNIVERSITY
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Contents of PMS, Vol. 21, Fasc. 2,
pages 277 - 302
 

EDGEWORTH EXPANSIONS FOR L -STATISTICS

Ivo B. Alberink
Gyula Pap
Martien C. A. van Zuijlen

Abstract: We study the approximation by a short Edgeworth expansion of the distribution function of normalized linear combinations

 1   sum n
 V~ --   cjnXj:n
  n j=1
of order statistics of n independent random variables with common distribution function F. Under the assumptions
|cjn| < Cn-p1 [j
--
n(1 -j- 1
-----
 n)]-p2 ,
|cjn - cj-1,n| < Cn-q1 [j
--
n(1 -j- 1
-----
 n)]-q2 ,
|cj+1,n - 2cjn + cj-1,n| < Cn-r1 [j
--
n(1 -j- 1
-----
 n)]-r2 ,
(F-1)'(s) < C[s(1 - s)]-k
for some p1,q1,r1  (-  R, p2,q2,r2,C > 0, k  (-  [0,5/4), with an appropriate balance in these parameters, and under additional moment conditions, the rate of uniform convergence is shown to be of order n-1. Moreover, a special case is considered where the cjn  are generated by a sequence of weight functions of a special structure.

1991 AMS Mathematics Subject Classification: 62E20.

Key words and phrases: Linear combinations of order statistics, Edgeworth expansions, rate of convergence.

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