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082 04 a| 577.015195422| 23;

100 1 a| Korner-Nievergelt, Fränzi.?| UNAUTHORIZED;

245 10 a| Bayesian data analysis in ecology using linear models with R, Bugs, and Stanh| [electronic resource] /c| Fränzi Korner-Nievergelt, Tobias Roth, Stefanie von Felten, Jérôme Guélat, Bettina Almasi, Pius Korner-Nievergelt.;

260 a| Amsterdam ;a| Boston :b| Elsevier/AP, Academic Press is an imprint of Elsevier,c| [2015];

300 a| xii, 316 pages :b| illustrations ;c| 23 cm;

504 a| Includes bibliographical references (pages 297-307) and index.;

506 a| Available only to authorized users.;

520 a| 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.--c| Source other than Library of Congress.;

538 a| Mode of access: World Wide Web;

650 0 a| Ecologyx| Researchx| Statistical methods.=| ^A250291;

650 0 a| Bayesian statistical decision theory.=| ^A20878;

650 0 a| Linear models (Statistics)=| ^A146794;

650 0 a| R (Computer program language)=| ^A523882;

650 2 a| Bayes Theorem.=| ^A927397;

650 2 a| Linear Models.=| ^A929994;

655 0 a| Electronic books.=| ^A491897;

700 1 a| Von Felten, Stefanie.?| UNAUTHORIZED;

700 1 a| Roth, Tobias.?| UNAUTHORIZED;

700 1 a| Almasi, Bettina.?| UNAUTHORIZED;

700 1 a| Guélat, Jérôme.?| UNAUTHORIZED;

700 1 a| Korner-Nievergelt, Pius.?| UNAUTHORIZED;

856 40 z| Full text available from eBook - Environmental Science 2015 [EBCES15]u| https://go.openathens.net/redirector/ecu.edu?url=https%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Fbook%2F9780128013700;

856 40 z| Full text available from Ebook Central - Academic Completeu| https://ebookcentral.proquest.com/lib/eastcarolina/detail.action?docID=2008285;

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Bayesian data analysis in ecology using linear models with R, Bugs, and Stan / Fränzi Korner-Nievergelt, Tobias Roth, Stefanie von Felten, Jérôme Guélat, Bettina Almasi, Pius Korner-Nievergelt.

Author/creator	Korner-Nievergelt, Fränzi
Format	Electronic
Publication Info	Amsterdam ; Boston : Elsevier/AP, Academic Press is an imprint of Elsevier, [2015]
Description	xii, 316 pages : illustrations ; 23 cm
Supplemental Content	Full text available from eBook - Environmental Science 2015 [EBCES15]
Supplemental Content	Full text available from Ebook Central - Academic Complete
Subjects	Ecology--Research. --Statistical methods. Bayesian statistical decision theory. Linear models (Statistics) R (Computer program language) Bayes Theorem. Linear Models.

Other author/creator	Von Felten, Stefanie.
Other author/creator	Roth, Tobias.
Other author/creator	Almasi, Bettina.
Other author/creator	Guélat, Jérôme.
Other author/creator	Korner-Nievergelt, Pius.
Abstract	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.-- Source other than Library of Congress.
Bibliography note	Includes bibliographical references (pages 297-307) and index.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Genre/form	Electronic books.
LCCN	2014957273
ISBN	9780128013700
ISBN	0128013702

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Library	Location	Call Number	Status	Item Actions
	Electronic Resources	Online Content Full text available from eBook - Environmental Science 2015 [EBCES15] Full text available from Ebook Central - Academic Complete	✔ Available

Bayesian data analysis in ecology using linear models with R, Bugs, and Stan / Fränzi Korner-Nievergelt, Tobias Roth, Stefanie von Felten, Jérôme Guélat, Bettina Almasi, Pius Korner-Nievergelt.

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