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Multivariate Statistics for Wildlife and Ecology Research
McGarigal, Kevin; Cushman, Samuel; Landguth, Erin; Stafford, Susan
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Description for Multivariate Statistics for Wildlife and Ecology Research
hardcover. Gives the reader a conceptual understanding of the role of multivariate statistics in ecological applications and the relationships among various techniques. This book offers an insight into the type of research questions best handled by each technique and the considerations in applying each one. Num Pages: 283 pages, 25 black & white tables, biography. BIC Classification: GPS; PDN; PSAF; PSVS; RNC. Category: (G) General (US: Trade); (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 17. Weight in Grams: 597.
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 ... Read more
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 ... Read more
Product Details
Format
Hardback
Publication date
2000
Publisher
Springer United States
Number of pages
283
Condition
New
Number of Pages
283
Place of Publication
New York, NY, United States
ISBN
9780387988917
SKU
V9780387988917
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About McGarigal, Kevin; Cushman, Samuel; Landguth, Erin; Stafford, Susan
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