Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
417404 | Computational Statistics & Data Analysis | 2006 | 8 Pages |
Abstract
A permutation solution to the problem of genetic differentiation is presented. The focus is on determining whether there are any differences between two populations. The ability to obtain plausible genetic heterogeneities by combining the information of several loci differs depending on the method used, so no statistical test uniformly dominates the others. The procedure proposed here is robust and flexible with regard to the possible configurations of the global alternative hypothesis. Moreover, such a procedure guarantees the rejection of the global hypothesis with probability αα when all null (local) hypotheses are true.
Related Topics
Physical Sciences and Engineering
Computer Science
Computational Theory and Mathematics
Authors
Luigi Salmaso, Aldo Solari,