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Data-dependent permutation techniques for the analysis of ecological data

✍ Scribed by Mario E. Biondini; Paul W. Mielke; Kenneth J. Berry

Publisher
Springer Netherlands
Year
1988
Tongue
English
Weight
570 KB
Volume
75
Category
Article
ISSN
1385-0237

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✦ Synopsis

Two distribution-free permutation techniques are described for the analysis of ecological data. These methods are completely data dependent and provide analyses for the commonly-encountered completely-randomized and randomized-block designs in a multivariate framework. Euclidean distance forms the basis of both techniques, providing consistency with the observed distribution of data in many ecological studies.

Nomenclature: follows Harrington (1964). Manual of the plants of Colorado. Shallow Press, Chicago.

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