ASYMPTOTIC NON-NORMALITY OF NULL DISTRIBUTIONS OF MRPP STATISTICS

被引:67
作者
MIELKE, PW
机构
[1] Department of Statistics Colorado State University, Fort Collins
来源
COMMUNICATIONS IN STATISTICS PART A-THEORY AND METHODS | 1979年 / 8卷 / 15期
关键词
asymmetric proximity measures; generalized permutation statistic; multivariate data; nonoarametric tests; paired-comparison ranking; permutation tests; quadratic assignment; revised MRPP statistic; sampling without replacement;
D O I
10.1080/03610927908827850
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
Severe departures from normality occur frequently for null distributions of statistics associated with applications of mult response permutation procedures (MRPP) for either small or larg< finite populations. This paper describes the commonly encountered situation associated with asymptotic non-normality for null distributions of MRPP statistics which does not depend on the underlying multivariate distribution. In addition, this paper establishes the existence of a non-degenerate underlying distribution for which the null distributions of MRPP statistic are asymptotically non-normal for essentially all size structur< configurations. It is known that MRPP statistics are symmetric versions of a broader class of statistics, most of which are asymmetric. Because of the non-normality associated with null distributions of MRPP statistics, this paper includes necessary results for inferences based on the exact first three moments oi any statistic in this broader class (analogous to existing results for MRPP statistics). © 1979 by Marcel Dekker, Inc. All rights reserved.
引用
收藏
页码:1541 / 1550
页数:10
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