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Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and Stan by Franzi Korner-Nievergelt; Tobias Roth; Stefanie von Felten; Jérôme Guélat; Bettina Almasi; Pius Korner-Nievergelt is a nonfiction available to read on EtoBox.

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Contributors: Franzi Korner-Nievergelt, Tobias Roth, Stefanie von Felten, Jérôme Guélat, Bettina Almasi, Pius Korner-Nievergelt 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. Introduces Bayesian data analysis, allowing users to obtain uncertainty measurements easily fo

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

Author

Franzi Korner-Nievergelt; Tobias Roth; Stefanie von Felten; Jérôme Guélat; Bettina Almasi; Pius Korner-Nievergelt

Publisher

Academic Press, an imprint of Elsevier

Published

2015

Language

EN

ISBN

9780128016787

Category

nonfiction

Subjects

Science, Engineering, Biology