Bayesian data analysis in ecology using linear models with R, bugs, and Stan : including comparisons to frequentist statistics /: including comparisons to frequentist statistics. (2015)

• Record Type: Book
• Further Information: Note: Fränzi Korner-Nievergelt [and five others].
• Authors: Korner-Nievergelt, Fränzi; Roth, Tobias; von Felten, Stefanie; Guélat, Jérôme; Almasi, Bettina; Korner-Nievergelt, Pius
• Contents: 1. Why Do We Need Statistical Models? 2. Prerequisites and Vocabulary 3. The Bayesian and Frequentist Ways of Analyzing Data 4. Normal Linear Models 5. Likelihood 6. Assessing Model Assumptions: Residual Analysis 7. Linear Mixed Effects Model LMM 8. Generalized Linear Model GLM 9. Generalized Linear Mixed Model GLMM 10. Posterior Predictive Model Checking and Proportion of Explained Variance 11. Model Selection and Multi-Model Inference 12. Markov Chain Monte Carlo Simulation (MCMC) 13. Modeling Spatial Data Using GLMM 14. Advanced Ecological Models 15. Prior Influence and Parameter Estimability 16. Checklist 17. What Should I Report in a Paper? References
• Publisher Details: Amsterdam : Academic Press
• Publication Date: 2015
• Extent: 1 online resource, illustrations
• Subjects: 577.01519542; Ecology -- Mathematics; Bayesian statistical decision theory; R (Computer program language)
• Languages: English
• ISBNs: 9780128016787
• Related ISBNs: 9780128013700
• Notes: Note: Description based on CIP data; item not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.