高雄醫學大學圖書館 |

Bayesian data analysis in ecology using linear models withR, Bugs, and Stan

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Bayesian data analysis in ecology using linear models withR, Bugs, and Stan/ Franzi Korner-Nievergelt ... [et al.]
other author:	Korner-Nievergelt, Franzi.
Published:	Amsterdam ;Academic Press, : 2015.,
Description:	1 online resource (xii, 316 p.) :ill. :
基督教聖經之智慧書導讀 :	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.
Subject:	Ecology - Research -
Online resource:	click 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:

413583
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
LDR:01933nam a2200265 a 4500 001 301616
003 OCoLC
005 20151106112130.0
006 m o d
007 cr cn|||||||||
008 170113s2015 ne a o 001 0 eng
010 $a 2014957273
020 $a 9780128013700 (electronic bk.)
020 $a 0128013702 (electronic bk.)
035 $a (OCoLC)898162361
035 $a 16000693
040 $a BTCTA $b eng $c BTCTA $d YDXCP $d COO $d OCLCO $d BRB $d FRH $d NLE
041 0 $a eng
050 4 $a QH541.15.S72 $b K67 2015
082 0 4 $a 577.01519542 $2 23
245 0 0 $a Bayesian data analysis in ecology using linear models withR, Bugs, and Stan $h [electronic resource] / $c Franzi Korner-Nievergelt ... [et al.]
260 $a Amsterdam ; $a Boston : $b Academic Press, $c 2015.
300 $a 1 online resource (xii, 316 p.) : $b ill.
504 $a Includes bibliographical references (p. 297-307) and index.
520 $a 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.
650 0 $a Ecology $x Research $x Statistical methods. $3 413583
650 0 $2 96060 $a Bayesian statistical decision theory. $3 236049
650 0 $2 96060 $a Linear models (Statistics) $3 236283
650 0 $2 96060 $a R (Computer program language) $3 253547
650 2 $a Bayes Theorem. $3 413584
650 2 $a Linear Models. $3 413585
700 1 $a Korner-Nievergelt, Franzi. $3 413582
856 4 0 $u http://www.sciencedirect.com/science/book/9780128013700 $z click for full text