Permutation Tests for Correlation between Two Distance Matrices

نویسنده

  • Jacquelin Dietz
چکیده

Biologists frequently summarize multivariate data from n populations by computing some measure of distance between populations. The problem then arises of comparing two such pairwise distance matrices based on different characters. A permutation test for correlation between distance matrices is proposed. This test, based on Kendall's tau statistic, is compared to Pearson's product-moment and Spearman's rho tests for the same problem. Examples are presented, and computation is discussed.

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تاریخ انتشار 2008