A NEW JACKKNIFE TEST FOR HOMOGENEITY OF VARIANCES

被引:1
|
作者
SHARMA, SC [1 ]
机构
[1] SO ILLINOIS UNIV,DEPT ECON,CARBONDALE,IL 62901
关键词
JACKKNIFE PROCEDURE; TEST FOR EQUALITY OF VARIANCES; NORMAL POPULATION; NONNORMAL POPULATIONS;
D O I
10.1080/03610919108812967
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
A new jackknife test is proposed to test the equality of variances in several populations. The new test is based on jackknifing one group of observations at a time, instead of one observation in each group as recommended by Miller for a two sample case, and by Layard for several samples. The proposed test is examined, and compared with other tests, in terms of power and robustness with respect to a wide variety of non-normal distributions. It is found that the new test is robust and has reasonably high power for normal as well as for non-normal observations, irrespective of the sample size. Furthermore, the proposed test is certainly superior to all other tests considered here in small to moderate size samples, and is as good as or better than the other tests in large samples, irrespective of the distribution of sampling observations.
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页码:479 / 495
页数:17
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