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Building a richer understanding of diversity through causally consistent evenness measures
Causally consistent evenness measures can only be changed when the populations they refer to change. This novel property is deeply important for making causal inferences, and yet every prominent evenness measure is not causally consistent. This paper proposes a family of causally consistent evenness...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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John Wiley and Sons Inc.
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7593197/ https://www.ncbi.nlm.nih.gov/pubmed/33144941 http://dx.doi.org/10.1002/ece3.6353 |