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Bayesian data analysis in ecology us...
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Korner-Nievergelt, Franzi.
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Bayesian data analysis in ecology using linear models withR, Bugs, and Stan
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Bayesian data analysis in ecology using linear models withR, Bugs, and Stan/ Franzi Korner-Nievergelt ... [et al.]
其他作者:
Korner-Nievergelt, Franzi.
出版者:
Amsterdam ;Academic Press, : 2015.,
面頁冊數:
1 online resource (xii, 316 p.) :ill.
標題:
Ecology - Research -
電子資源:
http://www.sciencedirect.com/science/book/9780128013700click for full text
ISBN:
9780128013700 (electronic bk.)
Bayesian data analysis in ecology using linear models withR, Bugs, and Stan
Bayesian data analysis in ecology using linear models withR, Bugs, and Stan
[electronic resource] /Franzi Korner-Nievergelt ... [et al.] - Amsterdam ;Academic Press,2015. - 1 online resource (xii, 316 p.) :ill.
Includes bibliographical references (p. 297-307) and index.
Bayesian Data Analysis in Ecology Using Linear Models withR, BUGS, and STAN examines the Bayesian and frequentist methods of conducting data analyses. The book provides thetheoretical 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.
ISBN: 9780128013700 (electronic bk.)
LCCN: 2014957273Subjects--Topical Terms:
812063
Ecology
--Research
LC Class. No.: QH541.15.S72 / K67 2015
Dewey Class. No.: 577.01519542
Bayesian data analysis in ecology using linear models withR, Bugs, and Stan
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