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On the measure and the estimation of evenness and diversity

机译:关于均匀度和多样性的度量和估计

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Modelling word or species frequency count data through zero truncated Poisson mixture models allows one to interpret the model mixing distribution as the distribution of the word or species frequencies of the vocabulary or population. As a consequence, estimates of their mixing density can be used as a fingerprint of the style of the author in his texts or of the ecosystem in its samples. Definitions of measure of the evenness and of measure of the diversity within a vocabulary or population are given, and the novelty of these definitions is explained. It is then proposed that the measures of the evenness and of the diversity of a vocabulary or population be approximated through the expectation of these measures under the word or species frequency distribution. That leads to the assessment of the lack of diversity through measures of the variability of the mixing frequency distribution estimates described above.
机译:通过零截断的泊松混合模型对单词或物种频率计数数据进行建模,可以将模型混合分布解释为词汇或总体的单词或物种频率分布。因此,它们混合密度的估计值可以用作作者文本或样本中生态系统样式的指纹。给出了词汇或总体中的均匀性度量和多样性度量的定义,并解释了这些定义的新颖性。然后提出,通过对单词或物种频率分布下的这些措施的期望,可以近似估计词汇量或总体的均匀性和多样性。这导致通过上述混合频率分布估计值的变化的度量来评估缺乏多样性。

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