ON THE CONSISTENCY OF THE M << N BOOTSTRAP APPROXIMATION FOR A TRIMMED MEAN

被引:5
|
作者
Gribkova, N. V. [1 ]
Helmers, R. [2 ]
机构
[1] St Petersburg State Univ, Math & Mech Fac, St Petersburg 198504, Stary Peterhof, Russia
[2] Ctr Math & Comp Sci, NL-1090 GB Amsterdam, Netherlands
关键词
M out of N bootstrap; trimmed mean; asymptotic normality; consistency of the M << N bootstrap approximation; modified bootstrap; ASYMPTOTIC-DISTRIBUTION;
D O I
10.1137/S0040585X97984607
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
We show that the M << N (N is the original data sample size, M denotes the size of the bootstrap resample; M/N -> 0, as M -> infinity) bootstrap approximation of the distribution of the trimmed mean is consistent without any conditions upon the population distribution F, whereas Efron's naive (i.e., M = N) bootstrap, as well as the normal approximation, fails to be consistent if the population distribution F has gaps at those two quantiles where the trimming occurs.
引用
收藏
页码:42 / 53
页数:12
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