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偏度与排列

SKEWNESS AND PERMUTATION.

作者信息

Källersjö Mari, Farris James S, Kluge Arnold G, Bult Carol

机构信息

Naturhistoriska riksmuseet, Molekylärsystematiska laboratoriet, Box 50007, S-104 05 Stockholm, Sweden.

Laboratory of Molecular Systematics, Smithsonian Institution, Washington, D.C. 20560, U.S.A.

出版信息

Cladistics. 1992 Sep;8(3):275-287. doi: 10.1111/j.1096-0031.1992.tb00071.x.

Abstract

Abstract- The skewness criterion of phylogenetic structure in data is too sensitive to character state frequencies, is not sensitive enough to number of characters (degree of corroboration) and relies on counts of arbitrarily-resolved bifurcating trees. For these reasons it can give misleading results. Permutation tests lack those drawbacks and can be performed quickly by using approximate parsimony calculations, but the test based on minimal tree length can imply strong structure in ambiguous data. A more satisfactory test is obtained by using a support measure which takes multiple trees into account.

摘要

摘要——数据系统发育结构的偏度标准对性状状态频率过于敏感,对性状数量(确证程度)不够敏感,且依赖于任意解析的二叉树计数。由于这些原因,它可能会给出误导性结果。排列检验没有这些缺点,并且可以通过使用近似简约计算快速执行,但基于最小树长的检验可能会在模糊数据中暗示强烈的结构。通过使用考虑多棵树的支持度量可获得更令人满意的检验。

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