Unveiling the species-rank abundance distribution by generalizing the Good-Turing sample coverage theory.

@article{Chao2015UnveilingTS,
  title={Unveiling the species-rank abundance distribution by generalizing the Good-Turing sample coverage theory.},
  author={Anne Chao and T. C. Hsieh and Robin L. Chazdon and Robert K Colwell and Nicholas J. Gotelli},
  journal={Ecology},
  year={2015},
  volume={96 5},
  pages={1189-201}
}
Based on a sample of individuals, we focus on inferring the vector of species relative abundance of an entire assemblage and propose a novel estimator of the complete species-rank abundance distribution (RAD). Nearly all previous estimators of the RAD use the conventional "plug-in" estimator Pi (sample relative abundance) of the true relative abundance pi of species i. Because most biodiversity samples are incomplete, the plug-in estimators are applied only to the subset of species that are… CONTINUE READING

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