A nonlinear mixed‐effects modeling approach for ecological data: Using temporal dynamics of vegetation moisture as an example

1. Increasingly, often ecologist collects data with nonlinear trends, heterogeneous variances, temporal correlation, and hierarchical structure. Nonlinear mixed‐effects models offer a flexible approach to such data, but the estimation and interpretation of these models present challenges, partly ass...

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Detalles Bibliográficos
Autores principales: Oddi, Facundo J., Miguez, Fernando E., Ghermandi, Luciana, Bianchi, Lucas O., Garibaldi, Lucas A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6787861/
https://www.ncbi.nlm.nih.gov/pubmed/31624547
http://dx.doi.org/10.1002/ece3.5543

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6787861/
https://www.ncbi.nlm.nih.gov/pubmed/31624547
http://dx.doi.org/10.1002/ece3.5543

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