عنوان

Bayesian data analysis in ecology using linear models with R, Bugs, and Stan /

(Number (ISBN

0128013702

(Number (ISBN

9780128013700

Number

dltt

Title Proper

Bayesian data analysis in ecology using linear models with R, Bugs, and Stan /

General Material Designation

[Book]

First Statement of Responsibility

Fränzi Korner-Nievergelt ... [et al.]

Place of Publication, Distribution, etc.

Boston :

Name of Publisher, Distributor, etc.

Academic Press,

Date of Publication, Distribution, etc.

2015

Specific Material Designation and Extent of Item

xii, 316 p. :

Other Physical Details

ill. ;

Dimensions

23 cm

Text of Note

Includes bibliographical references (pages 297-307) and index

Text of Note

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

Bayesian statistical decision theory

Ecology-- Research-- Statistical methods

Linear models (Statistics)

R (Computer program language)

Bayes Theorem

Linear Models

Number

Edition

Class number

Book number

Almasi, Bettina

Guélat, Jérôme

Korner-Nievergelt, Fränzi

Korner-Nievergelt, Pius

Roth, Tobias

von Felten, Stefanie

Date of Transaction

20151106112130.0

Electronic name

[Book]

Y