Modeling dragonfly population data with a Bayesian bivariate geometric mixed-effects model

We develop a generalized linear mixed model (GLMM) for bivariate count responses for statistically analyzing dragonfly population data from the Northern Netherlands. The populations of the threatened dragonfly species Aeshna viridis were counted in the years 2015–2018 at 17 different locations (pond...

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Detalles Bibliográficos
Autores principales: van Oppen, Yulan B., Milder-Mulderij, Gabi, Brochard, Christophe, Wiggers, Rink, de Vries, Saskia, Krijnen, Wim P., Grzegorczyk, Marco A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2022
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10332241/
https://www.ncbi.nlm.nih.gov/pubmed/37434627
http://dx.doi.org/10.1080/02664763.2022.2068513

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10332241/
https://www.ncbi.nlm.nih.gov/pubmed/37434627
http://dx.doi.org/10.1080/02664763.2022.2068513

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