Estimating covariation between vital rates: a simulation study of connected vs. separate generalized linear mixed models (GLMMs)
DOI10.1016/J.TPB.2012.02.003zbMath1284.92083OpenAlexW2168468173WikidataQ34215673 ScholiaQ34215673MaRDI QIDQ2442472
Margaret E. K. Evans, Kent E. Holsinger
Publication date: 3 April 2014
Published in: Theoretical Population Biology (Search for Journal in Brave)
Full work available at URL: https://opencommons.uconn.edu/eeb_articles/30
demographygeneralized linear mixed modelshierarchical Bayesian modeltransition matrix modelvital rate covariationyear effects
Applications of statistics to biology and medical sciences; meta analysis (62P10) Measures of association (correlation, canonical correlation, etc.) (62H20) Population dynamics (general) (92D25) Mathematical geography and demography (91D20)
Uses Software
Cites Work
- Bayesian modelling strategies for spatially varying regression coefficients: a multivariate perspective for multiple outcomes
- Population dynamics and variable environments. III. Evolutionary dynamics of r-selection
- Inference from iterative simulation using multiple sequences
- Efficient parametrisations for normal linear mixed models
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