Abstract
In this note, we develop a new two-group bootstrap-permutation test that utilizes the tail-extrapolated quantile function estimator for the bootstrap component. This test is an extension of the standard two-group permutation test, that through its construction is defined to meet the exchangeability assumption, and thus it guarantees that the type I error is appropriately bounded by definition. This methodology is particularly useful in the non-randomized two-group setting for which the exchangeability assumption for the traditional two-group permutation test is untestable. We develop some theoretical results for the new test, followed by a simulation study and an example.
| Original language | English |
|---|---|
| Pages (from-to) | 1593-1603 |
| Number of pages | 11 |
| Journal | Journal of Applied Statistics |
| Volume | 39 |
| Issue number | 7 |
| DOIs | |
| State | Published - Jul 2012 |
Keywords
- bootstrap
- nonparametric
- quantile function
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