A Class of Nonparametric Tests Based on Multiresponse Permutation Procedures
提出了一类基于多响应置换程序的单变量秩检验，其中某个成员与Kruskal-Wallis检验渐近等价，另一个成员在检测双峰分布和重尾单峰分布的位移时效率更高，且计算更简便。
A class of univariate rank tests based on multiresponse permutation procedures is introduced. Asymptotic equivalence is established between one member of this class and the Kruskal-Wallis test. Simulated power comparisons for location shift detection indicate that another member of the class provides superior detection efficiency for location shifts of bimodal distributions and of heavy tailed unimodal distributions. Furthermore, both tests possess substantial computational advantages over other members of the class.