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Permutation Tests for Association between Two Distance Matrices
E. Jacquelin Dietz
Vol. 32, No. 1 (Mar., 1983), pp. 21-26
Stable URL: http://www.jstor.org/stable/2413216
Page Count: 6
You can always find the topics here!Topics: Mantels, Matrices, Permutation tests, P values, Simulations, Genetics, Statistics, Algorithms, Statistical estimation, Correlations
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Systematists and geneticists often wish to compare two pair-wise distance or similarity matrices based on different characters. Conventional correlation tests are not appropriate in such situations because of dependencies among the entries in each matrix. A broad class of permutation tests for association between distance matrices is described. Specific members of the class are discussed and compared using real and simulated data. Statistics resembling Kendall's tau and Spearman's rho are found to have desirable power and invariance properties.
Systematic Zoology © 1983 Oxford University Press