Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and Stan

Author:   Franzi Korner-Nievergelt (Ecological Statistician, oikostat GmbH and Swiss Ornithological Institute, Switzerland) ,  Tobias Roth (Ecological Statistician, University of Basel and Hintermann & Weber AG, Switzerland) ,  Stefanie von Felten (Statistician, oikostat GmbH and Clinical Trial Unit, University Hospital Basel, Switzerland) ,  Jérôme Guélat (Geographic Information Systems, Swiss Ornithological Institute)
Publisher:   Elsevier Science Publishing Co Inc
ISBN:  

9780128013700


Pages:   328
Publication Date:   13 April 2015
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and Stan


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Author:   Franzi Korner-Nievergelt (Ecological Statistician, oikostat GmbH and Swiss Ornithological Institute, Switzerland) ,  Tobias Roth (Ecological Statistician, University of Basel and Hintermann & Weber AG, Switzerland) ,  Stefanie von Felten (Statistician, oikostat GmbH and Clinical Trial Unit, University Hospital Basel, Switzerland) ,  Jérôme Guélat (Geographic Information Systems, Swiss Ornithological Institute)
Publisher:   Elsevier Science Publishing Co Inc
Imprint:   Academic Press Inc
Dimensions:   Width: 15.20cm , Height: 1.90cm , Length: 22.90cm
Weight:   0.500kg
ISBN:  

9780128013700


ISBN 10:   0128013702
Pages:   328
Publication Date:   13 April 2015
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of 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?

Reviews

...an excellent statistical toolbox book that provides examples of ecological analyses that increase in complexity using frequentist and Bayesian methods...it will have a permanent place on many bookshelves, including mine... --The Journal of Wildlife Management, Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and Stan


...an excellent statistical toolbox book that provides examples of ecological analyses that increase in complexity using frequentist and Bayesian methods...it will have a permanent place on many bookshelves, including mine... --The Journal of Wildlife Management


Author Information

Fränzi Korner-Nievergelt has been working as a statistical consultant since 2003. Dr. Korner-Nievergelt conducts research in ecology and ecological statistics at the Swiss Ornithological Institute and oikostat GmbH. Additionally, she provides data analyses for scientific projects in the public and private sector. A large part of her work involves teaching courses for scientists at scientific institutions and private organizations. Tobias Roth is a postdoc at the University of Basel where he teaches masters level courses in statistics for ecology and biology students. In addition, Dr. Tobias Roth is co-owner and project manager at Hintermann & Weber AG, where he is responsible for data analyses and develops analytical methods for biodiversity monitoring programs. Stefanie von Felten has a PhD in Plant Ecology and a diploma of advanced studies in statistics. Since 2010 she works as statistician at the University Hospital Basel where she is involved in planning, analysis and publication of clinical studies. In addition, Dr. von Felten is a statistical consultant for oikostat GmbH. She has been teaching statistics in several courses for Master and PhD students at various academic institutions and for doctors and other health personnel at the Hospital. Jérôme Guélat has been leading the GIS team at the Swiss Ornithological Institute for more than 6 years. He uses spatial statistics to provide guidance to applied conservation problems. He also teaches a short course on spatial and Bayesian statistics. Bettina Almasi has a PhD in eco-physiology and ecology from the University of Zurich and a post-diploma course in applied statistics from the ETH Zurich. Dr. Almasi conducts research in stress physiology and behavioural ecology at the Swiss Ornithological Institute and works part-time as a statistical consultant at oikostat GmbH Pius Korner-Nievergelt has a PhD in ecology, conservation biology and a post-diploma course in applied statistics both from ETH Zurich. Dr. Korner-Nievergelt works as a statistician at oikostat GmbH as well as at the Swiss Ornithological Institute for data analyses, mainly regarding ecological questions.

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