Distance sampling
Orientation
Theory & applications
R Basics
Analysis
Covariates
Use output
Wrap up analysis
Survey design
Model selection strategy
Using output
Learning objectives
Alternative datasets
Summarise evidence
Assess model fit
Re-assess poor models
Evaluate covariates
Confidence intervals
Model selection strategy
Multi-model inference
Assignment
Summary and reflection
Model selection strategy
The culmination of our work with Information Theory
A multi-stage process to determine which hypotheses are the most informative
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Confidence intervals
Multi-model inference