Bayesian data analysis in ecology using linear models with R, BUGS, and Stan / [electronic resource] Fr�anzi Korner-Nievergelt [and five others]. Korner-Nievergelt, Fr�anzi, author. BUGS (Information storage and retrieval system) Ecology Research Statistical methods. Bayesian statistical decision theory. R (Computer program language) Bayes Theorem. Linear Models. QH541.15.S72 577.01/5195 23 Includes bibliographical references and index. Online resource; title from PDF title page (Ebsco, viewed April 9, 2015). Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and STAN examines the Bayesian and frequentist methods of conducting data analyses. The book provides the theoretical background in an easy-to-understand approach, encouraging readers to examine the processes that generated their data. Including discussions of model selection, model checking, and multi-model inference, the book also uses effect plots that allow a natural interpretation of data. Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and STAN introduces Bayesian software, using R for the simple modes, and flexible Bayesian software (BUGS and Stan) for the more complicated ones. Guiding the ready from easy toward more complex (real) data analyses ina step-by-step manner, the book presents problems and solutions-including all R codes-that are most often applicable to other data and questions, making it an invaluable resource for analyzing a variety of data types. 2015 Text 1 online resource : http://www.sciencedirect.com/science/book/9780128013700 eng Bayesian data analysis in ecology using linear models with R, BUGS, and Stan. Bayesian data analysis in ecology using linear models with R, BUGS, and Stan.