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首页> 外文期刊>Cladistics: The international journal of the Willi Hennig Society >Parsimony overcomes statistical inconsistency with the addition of more data from the same gene
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Parsimony overcomes statistical inconsistency with the addition of more data from the same gene

机译:简约通过添加来自同一基因的更多数据克服了统计上的不一致

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Many authors have demonstrated that the parsimony method of phylogenetic analysis can fail to estimate phylogeny accurately under certain conditions when data follow a model that stipulates homogeneity of the evolutionary process. These demonstrations further show that no matter how much data are added, parsimony will forever exhibit this statistical inconsistency if the additional data have the same distributional properties as the original data. This final component-that the additional data must follow the same distribution as the original data-is crucial to the demonstration. Recent simulations show, however, that if data evolve heterogeneously, parsimony can perform consistently. Here we show, using natural data, that parsimony can overcome inconsistency if new data from the same gene are added to an analysis already exhibiting a condition indistinguishable from inconsistency. (C) The Willi Hennig Society 2005.
机译:许多作者已经证明,当数据遵循规定了进化过程同质性的模型时,系统进化分析的简约方法可能无法在某些条件下准确地估计系统发育。这些演示进一步表明,无论添加了多少数据,如果附加数据具有与原始数据相同的分布特性,则简约将永远表现出这种统计不一致。最后一步-附加数据必须遵循与原始数据相同的分布-对于演示至关重要。但是,最近的模拟表明,如果数据异构发展,则简约性可以始终如一地执行。在这里,我们显示,使用自然数据,如果将来自相同基因的新数据添加到已经显示出与不一致无法区分的条件的分析中,则简约可以克服不一致。 (C)2005年威利·亨尼格学会(Willi Hennig Society)。

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