Accounting for sampling error when inferring population synchrony from time-series data: a Bayesian state-space modelling approach with applications.
<h4>Background</h4>Data collected to inform time variations in natural population size are tainted by sampling error. Ignoring sampling error in population dynamics models induces bias in parameter estimators, e.g., density-dependence. In particular, when sampling errors are independent...
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| Autores principales: | , , , , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Public Library of Science (PLoS)
2014
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/ebca0d0d87664f6eb7d584d713c34afc |
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