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

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




[PDF.xe66] Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and Stan

Bayesian Data Analysis in  Franzi Korner-Nievergelt, Tobias Roth, Stefanie von Felten, Jérôme Guélat, Bettina Almasi, Pius Korner-Nievergelt epub
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Bayesian Data Analysis in  Franzi Korner-Nievergelt, Tobias Roth, Stefanie von Felten, Jérôme Guélat, Bettina Almasi, Pius Korner-Nievergelt book review
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 | #971877 in Books |  imusti |  2015-04-23 | Original language:English | PDF # 1 |  9.00 x.75 x6.00l,1.35 | File type: PDF | 328 pages

 | Academic Press

||0 of 0 people found the following review helpful.| The book contains a lot of great material. The authors compare frequentist methods to Bayesian ...|By Stephen F. Elston|I am not an ecological modeler, but work and teach in other areas of statistics. I have developed an interest in ecological models.

This book is a survey of the subject with broad coverage. The book contains a lot of great material. The authors comp| |"...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 Man

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 o...

You can specify the type of files you want, for your gadget.Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and Stan   |  Franzi Korner-Nievergelt, Tobias Roth, Stefanie von Felten, Jérôme Guélat, Bettina Almasi, Pius Korner-Nievergelt. I really enjoyed this book and have already told so many people about it!

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