BIAS REDUCTION FOR JACKKNIFE SKEWNESS ESTIMATORS

被引:2
|
作者
TU, D [1 ]
GROSS, AJ [1 ]
机构
[1] MED UNIV S CAROLINA,DEPT BIOMETRY & EPIDEMIOL,CHARLESTON,SC 29403
关键词
BIAS CORRECTION; JACKKNIFE ESTIMATION OF SKEWNESS; MONTE-CARLO SIMULATION;
D O I
10.1080/03610929408831389
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
It has been found in simulation studies (Beran, 1984; Tu and Zhang, 1992a) that the jackknife skewness estimators have large downward biases. In this paper a method to reduce the biases of negative jackknife skewness estimators is suggested. The performance of the bias reduced estimators is assessed by Monte Carlo simulations for both small and moderate sample sizes.
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页码:2323 / 2341
页数:19
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