Multivariate Statistics for Wildlife and Ecology Research

Kevin McGarigal, Sam Cushman, Susan Stafford

284 pages, parution le 29/04/2002

Ajouter à une liste

Indisponible

Résumé

Wildlife researchers and ecologists make widespread use of multivariate statistics in their studies. With its focus on the practical application of the techniques of multivariate statistics, this book shapes the powerful tools of statistics for the specific needs of ecologists and makes statistics more applicable to their course of study. 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.

Contents

Introduction & Overview
Ordination: Principal Components Analysis
Cluster Analysis.- Discriminant Analysis
Canonical Correlation Analysis
Summary and Comparison
Appendix: Acronyms Used in This Book
Glossary
Index

Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	Kevin McGarigal, Sam Cushman, Susan Stafford
Parution	29/04/2002
Nb. de pages	284
Format	15,5 x 23,5
Couverture	Broché
Poids	435g
Intérieur	Noir et Blanc
EAN13	9780387986425