Overview
- Authors:
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Kevin McGarigal
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Department of Natural Resources Conservation, University of Massachusetts, Amherst, USA
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Susan Stafford
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Department of Forest Sciences, Colorado State University, Fort Collins, USA
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Sam Cushman
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Organismic and Evolutionary Biology, University of Massachusetts, Amherst, USA
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Table of contents (6 chapters)
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Front Matter
Pages i-xiii
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- Kevin McGarigal, Susan Stafford, Sam Cushman
Pages 1-17
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- Kevin McGarigal, Susan Stafford, Sam Cushman
Pages 19-80
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- Kevin McGarigal, Susan Stafford, Sam Cushman
Pages 81-128
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- Kevin McGarigal, Susan Stafford, Sam Cushman
Pages 129-187
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- Kevin McGarigal, Susan Stafford, Sam Cushman
Pages 189-232
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- Kevin McGarigal, Susan Stafford, Sam Cushman
Pages 233-248
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Back Matter
Pages 249-283
About this book
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 andemploy 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 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.
Authors and Affiliations
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Department of Natural Resources Conservation, University of Massachusetts, Amherst, USA
Kevin McGarigal
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Department of Forest Sciences, Colorado State University, Fort Collins, USA
Susan Stafford
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Organismic and Evolutionary Biology, University of Massachusetts, Amherst, USA
Sam Cushman
