A guide to developing resource selection functions from telemetry data using generalized estimating equations and generalized linear mixed models

A guide to developing resource selection functions from telemetry data using generalized estimating equations and generalized linear mixed models

Resource selection functions (RSF) are often developed using satellite (ARGOS) or Global Positioning System (GPS) telemetry datasets, which provide a large amount of highly correlated data. We discuss and compare the use of generalized linear mixed-effects models (GLMM) and generalized estimating eq...

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Bibliographic Details
Main Authors: Nicola Koper, Micheline Manseau
Format: Article
Language:English
Published: Septentrio Academic Publishing 2012-03-01
Series:Rangifer
Subjects:
autocorrelation
conditional models
empirical standard errors
GEE
generalized estimating equations
generalized linear mixed-effects models
Online Access:https://septentrio.uit.no/index.php/rangifer/article/view/2269

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https://septentrio.uit.no/index.php/rangifer/article/view/2269

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