1976
DOI: 10.1080/03610927608827451
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Multi-response permutation procedures for a priori classifications

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Cited by 275 publications
(136 citation statements)
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“…Samples were classified into clusters based on similarities of community composition. A multi-response permutation procedure (MRPP; Mielke et al, 1976), a non-parametric method for testing the hypothesis of "no difference between two or more groups of entities", was used to evaluate the statistical significance of the clusters. Cluster analysis and the MRPP were conducted using PC-Ord (McCune and Mefford, 1999).…”
Section: Discussionmentioning
confidence: 99%
“…Samples were classified into clusters based on similarities of community composition. A multi-response permutation procedure (MRPP; Mielke et al, 1976), a non-parametric method for testing the hypothesis of "no difference between two or more groups of entities", was used to evaluate the statistical significance of the clusters. Cluster analysis and the MRPP were conducted using PC-Ord (McCune and Mefford, 1999).…”
Section: Discussionmentioning
confidence: 99%
“…The distance (kilometres) between the centroids of pack home ranges between the two periods and between seasons was also calculated. Multiple response permutation procedures (MRPPs; Mielke et al 1976) were used to examine changes in distributions of coyote locations or space-use patterns between the two periods, to elucidate changes in the internal structure of the home range. MRPPs compare the observed intragroup (for example, pack or season locations) average distances between any two locations with the average distances that would have resulted from all possible combinations of intergroup locations under the null hypothesis.…”
Section: Methodsmentioning
confidence: 99%
“…Samples for each water depth were classified into clusters based on the similarities of their community composition. A multiresponse permutation procedure (MRPP; Mielke et al, 1976), which is a nonparametric procedure for testing the hypothesis of no difference between two or more groups of entities, was conducted to evaluate the significance of the clusters. Cluster analysis and MRPP were conducted using PCORD (McCune and Mefford, 1999).…”
Section: Discussionmentioning
confidence: 99%