Range-preserving unbiased estimators in the poisson case |
| |
Authors: | Lawrence E Barker |
| |
Institution: | Department of Mathematics , University of Tennessee , Knoxville, TN, 37996-1300 |
| |
Abstract: | Abstract The Kruskal–Wallis test is a popular nonparametric test for comparing k independent samples. In this article we propose a new algorithm to compute the exact null distribution of the Kruskal–Wallis test. Generating the exact null distribution of the Kruskal–Wallis test is needed to compare several approximation methods. The 5% cut-off points of the exact null distribution which StatXact cannot produce are obtained as by-products. We also investigate graphically a reason that the exact and approximate distributions differ, and hope that it will be a useful tutorial tool to teach about the Kruskal–Wallis test in undergraduate course. |
| |
Keywords: | Rank Recursive formula Nonparametric ANOVA Permutation |
|
|