Stat 534 - Notes, emphasizing equations

• Week 1 - likelihood and species composition analysis
• Week 2 - randomization and residuals
• Week 3 - Tweedie distributions and intro to Mark-Recapture
• Week 4 - Multinomial model for 2 capture occasions (end of week 3 notes)
• Week 4 - Profile likelihood, more than 2 capture occasions: model M0
• Week 5 - Models Mt and Mb, model selection, model averaging
• Week 5, part 2 - Models Mtb and Mh, parameter redundancy
• Video covering heterogeneity, ca. 35 min.
• Week 6 - Open population models, part 1: Jolly-Seber
• Video covering start of open population models. ca. 35 min.
• CJS likelihood and m-arrays, ca 25 min.
• Week 7 - Open population models, part 2
• Week 8 - Open population model extensions, part 1
• Week 8b - Open population model extensions, part 2
• Week 9 - Population models
• Week 10 - part 1 (= part 9b)
• Week 10 - part 2 Population models: stage-based model, integral projection models
• Introduction to hierarchical models
• Hierarchical models, part 2
• Overview diagram of hierarchical models
• Week 15 - resource selection