Critical Values for the Robust Rank-Order Test.

Autor: Feltovich, Nick
Předmět:
Zdroj: Communications in Statistics: Simulation & Computation; Aug2005, Vol. 34 Issue 3, p525-547, 23p
Abstrakt: The nonparametric Wilcoxon–Mann–Whitney test is commonly used by practitioners for detecting differences in location (mean, median) between two samples. Earlier work has shown this test to have a number of disadvantages, most of which are remedied by use of the alternative robust rank-order test. Use of the robust rank-order test has been limited, perhaps partly because exact critical values have up to now been available for only a small number of sample-size values, and not for all of the commonly used levels of significance. This article expands what is known about the distribution of the robust rank-order test statistic; critical values are given for more sample sizes and for more levels of significance. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index