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Using clustered data to develop biomass allometric models: The consequences of ignoring the clustered data structure
This paper investigates the consequences of ignoring the clustered data structure on allometric models. Clustered data, in the form of multiple trees sampled from multiple forest stands is commonly used to develop biomass allometric models. Of 102 reviewed papers published between 2012 and 2016 that...
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| Gepubliceerd in: | PLoS One |
|---|---|
| Hoofdauteurs: | , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Public Library of Science
2018
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6071979/ https://ncbi.nlm.nih.gov/pubmed/30071050 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0200123 |
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