Improving data interpretation of fragmentary data-sets on invertebrate dispersal with permutation tests [An article from

Author: F. Jopp
Edition:
Binding: Digital
ISBN: B000PDTZ9E

Improving data interpretation of fragmentary data-sets on invertebrate dispersal with permutation tests [An article from: Acta Oecologica]

This digital document is a journal article from Acta Oecologica, published by Elsevier in 2007. Get Improving data interpretation of fragmentary data-sets on invertebrate dispersal with permutation tests [An article from computer books for free.
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Description:
Biological data often tend to have heterogeneous, discontinuous non-normal distributions. Statistical non-parametric tests, like the Mann-Whitney U-test or the extension for more than two samples, the Kruskal-Wallis test, are often used in these cases, although they assume certain preconditions which are often ignored. We developed a permutation test procedure that uses the ratio of the interquartile distances and the median differences of the original non-classified Check Improving data interpretation of fragmentary data-sets on invertebrate dispersal with permutation tests [An article from our best computer books for 2013. All books are available in pdf format and downloadable from rapidshare, 4shared, and mediafire.

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The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.

Description:
Biological data often tend to have heterogeneous, discontinuous non-normal distributions We developed a permutation test procedure that uses the ratio of the interquartile distances and the median differences of the original non-classified

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