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在树搜索过程中估计字符权重。

ESTIMATING CHARACTER WEIGHTS DURING TREE SEARCH.

作者信息

Goloboff Pablo A

机构信息

Cornell University/American Museum of Natural History, Graduate Training Program in Arthropod Systematics, The American Museum of Natural History, Central Park West at 79th Street, New York 10024, U.S.A.

出版信息

Cladistics. 1993 Mar;9(1):83-91. doi: 10.1111/j.1096-0031.1993.tb00209.x.

DOI:10.1111/j.1096-0031.1993.tb00209.x
PMID:34929936
Abstract

Abstract- A new method for weighting characters according to their homoplasy is proposed; the method is non-iterative and does not require independent estimations of weights. It is based on searching trees with maximum total fit, with character fits defined as a concave function of homoplasy. Then, when comparing trees, differences in steps occurring in characters which show more homoplasy on the trees are less influential. The reliability of the characters is estimated, during the analysis, as a logical implication of the trees being compared. The "fittest" trees imply that the characters are maximally reliable and, given character conflict, have fewer steps for the characters which fit the tree better. If other trees save steps in some characters, it will be at the expense of gaining them in characters with less homoplasy.

摘要

摘要——提出了一种根据特征的同塑性对其进行加权的新方法;该方法是非迭代的,且不需要对权重进行独立估计。它基于搜索具有最大总拟合度的树,特征拟合度被定义为同塑性的凹函数。然后,在比较树时,在树上表现出更多同塑性的特征中出现的步长差异影响较小。在分析过程中,特征的可靠性被估计为所比较树的逻辑蕴涵。“最拟合”的树意味着特征具有最大的可靠性,并且在存在特征冲突的情况下,对于与树拟合得更好的特征具有更少的步长。如果其他树在某些特征上节省了步长,那么这将以在同塑性较小的特征上增加步长为代价。

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