Multivariate Statistics for Wildlife and Ecology Research (Hardcover, 2000 ed.)

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. It gives readers a solid conceptual understanding of the role of multivariate statistics in ecological applications and the relationships among various techniques, while avoiding detailed mathematics and the underlying theory. More importantly, the reader will gain insight into the type of research questions best handled by each technique and the important considerations in applying them. Whether used as a textbook for specialised courses or as a supplement to general statistics texts, the book emphasises those techniques that students of ecology and natural resources most need to understand and employ in their research. While targeted for upper-division and graduate students in wildlife biology, forestry, and ecology, and for professional wildlife scientists and natural resource managers, this book will also be valuable to researchers in any of the biological sciences.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Release date:	2001
First published:	2000
Authors:	Kevin McGarigal • Samuel A. Cushman • Susan Stafford
Dimensions:	235 x 155 x 17mm (L x W x T)
Format:	Hardcover
Pages:	283
Edition:	2000 ed.
ISBN-13:	978-0-387-98891-7
Categories:	Books > Reference & Interdisciplinary > Communication studies > Research methods Books > Science & Mathematics > Science: general issues > Scientific equipment & techniques, laboratory equipment > General Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Ecological science, the Biosphere Books > Science & Mathematics > Biology, life sciences > Zoology & animal sciences > Animal ecology Books > Earth & environment > The environment > Applied ecology > General
LSN:	0-387-98891-2
Barcode:	9780387988917

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