Step-Down Multiple Comparison Procedures Using Medians and Permutation Tests

Step-Down Multiple Comparison Procedures Using Medians and Permutation Tests

Richter and McCann (2007) presented a median-based multiple comparison procedure for assessing evidence of group location differences. The sampling distribution was based on the permutation distribution of the maximum median difference among all pairs, and provides strong control of the FWE. This idea is extended to develop a step-down procedure for comparing group locations. The new step-down ...

Multiple Comparison of Medians Using Permutation Tests

Multivariate and Multiple Permutation Tests

In this article, we consider the use of permutation tests for comparing multivariate parameters from two populations. First, the underlying properties of permutation tests when comparing parameter vectors from two distributions P and Q are developed. Although an exact level α test can be constructed by a permutation test when the fundamental assumption of identical underlying distributions hold...

On a Monotonicity Problem in Step-Down Multiple Test Procedures

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A Comparison of Permutation and Bootstrap Tests

This paper compares the permutation and boo strap tests in the setting of a two sample testing of the equality of sample mean. Since Romano[4], Bradley and Tibshirani[2] already showed that the tests yield similar results in large sample hypothesis testings, but few, if any, literature investigated in the small sample cases, we will compare the permutation and bootstrap tests in the situation o...