Record Display for the EPA National Library Catalog

RECORD NUMBER: 10 OF 21

OLS Field Name OLS Field Data
Main Title Multivariate statistics for wildlife and ecology research /
Author McGarigal, Kevin.
Other Authors
Author Title of a Work
Cushman, Sam.
Stafford, Susan G.,
Publisher Springer,
Year Published 2000
OCLC Number 41467791
ISBN 0387988912; 9780387988917; 0387986421; 9780387986425
Subjects Animal ecology--Research--Statistical methods. ; Multivariate analysis. ; Multivariate Analyse ; Tierèokologie ; Wildtiere ; ECOLOGIA ANIMAL (PESQUISA) ; ANâALISE MULTIVARIADA. ; ECOLOGIA ANIMAL (MâETODOS ESTATâISTICOS) ; Multivariate Analyse.--(DE-588)4040708-1 ; Tierèokologie.--(DE-588)4129378-2 ; Wildtiere.--(DE-588)4135893-4 ; Ecologie animale--Recherche--M ethodes statistiques ; Analyse multivari ee ; Ecolog ia animal--Metodolog ia ; An alisis multivariado
Internet Access
Description Access URL
Publisher description http://catdir.loc.gov/catdir/enhancements/fy0816/99016036-d.html
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
EHAM  QH541.2.M39 2000 Region 1 Library/Boston,MA 03/05/2012
ENAM  QH541.2.M39 2000 Region 7 IRC Library/Kansas City,KS 02/14/2003
Collation xiii, 283 pages : illustrations ; 24 cm
Notes
Includes bibliographical references and index.
Contents Notes
Introduction and overview -- Ordination : principal components analysis -- Cluster analysis -- Discriminant analysis -- Canonical correlation analysis -- Summary and comparison. "Multivariate Statistics for Wildlife and Ecology Research gives the reader a solid conceptual understanding of the role of multivariate statistics in ecological applications and the relationships among various techniques, while avoiding detailed mathematics and underlying theory. More important, the reader will gain insight into the type of research questions best handled by each technique and the important considerations in applying each one. Whether used as a textbook for specialized courses or as a supplement to general statistics texts, the book emphasizes those techniques that students of ecology and natural resources most need to understand and employ in their research. Detailed examples use real wildlife data sets analyzed using the SAS statistical software program." "The book is specifically targeted for upper-division undergraduate and graduate students in wildlife biology, forestry, and ecology, and for professional wildlife scientists and natural resource managers, but it will be valuable to researchers in any of the biological sciences."--Jacket.