Record Display for the EPA National Library Catalog

RECORD NUMBER: 33 OF 168

Main Title Ecological models and data in R /
Author Bolker, Benjamin M.,
Publisher Princeton University Press,
Year Published 2008
OCLC Number 166273862
ISBN 9780691125220; 0691125228; 9780691125237; 0691125236
Subjects Ecology--Statistical methods ; Ecology--Mathematical models ; Ecology--Simulation methods ; R (Computer program language) ; data analysis ; computer software ; Datenanalyse ; R--Programm ; èOkologie ; Ekologi--statistiska metoder ; Datenanalyse--(DE-588)4123037-1 ; R (Programm)--(DE-588)4705956-4 ; èOkologie--(DE-588)4043207-5
Internet Access
Description Access URL
Table of contents http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=016730926&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
Table of contents http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016730926&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
Holdings
Library Call Number Additional Info Location Last
Modified		 Checkout
Status
EKBM  QH541.15.S72B65 2008 Research Triangle Park Library/RTP, NC 02/15/2010
ELDM  QH541.15.S72B65 2008 CCTE/GLTED Library/Duluth,MN 11/23/2009
ESAM  QH541.15.S72B65 2008 Region 10 Library/Seattle,WA 10/06/2021
ESBM  QH541.15.S72B65 2008 CPHEA/PESD Library/Corvallis,OR 02/15/2010 STATUS
Collation vii, 396 pages : illustrations ; 26 cm
Notes
Includes bibliographical references (pages 369-382) and indexes.
Contents Notes
"Ecological Models and Data in R is the first truly practical introduction to modern statistical methods for ecology. In step-by-step detail, the book teaches ecology graduate students and researchers everything they need to know in order to use maximum likelihood, information-theoretic, and Bayesian techniques to analyze their own data using the programming language R. Drawing on extensive experience teaching these techniques to graduate students in ecology, Benjamin Bolker shows how to choose among and construct statistical models for data, estimate their parameters and confidence limits, and interpret the results. The book also covers statistical frameworks, the philosophy of statistical modeling, and critical mathematical functions and probability distributions. It requires no programming background - only basic calculus and statistics."--Jacket.