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Titlebook: Multivariate Statistics for Wildlife and Ecology Research; Kevin McGarigal,Susan Stafford,Sam Cushman Textbook 2000 Springer Science+Busin

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書(shū)目名稱Multivariate Statistics for Wildlife and Ecology Research
編輯Kevin McGarigal,Susan Stafford,Sam Cushman
視頻videohttp://file.papertrans.cn/642/641339/641339.mp4
圖書(shū)封面Titlebook: Multivariate Statistics for Wildlife and Ecology Research;  Kevin McGarigal,Susan Stafford,Sam Cushman Textbook 2000 Springer Science+Busin
描述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 i
出版日期Textbook 2000
關(guān)鍵詞biology; classification; cluster analysis; clustering; ecology; forest; forestry; mathematics; multidimensio
版次1
doihttps://doi.org/10.1007/978-1-4612-1288-1
isbn_softcover978-0-387-98642-5
isbn_ebook978-1-4612-1288-1
copyrightSpringer Science+Business Media New York 2000
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Multivariate Statistics for Wildlife and Ecology Research
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Infinite products,ability of a transition from . to .. Step-by-step conditional probabilities and finite products are used in assigning probabilities to . paths which originate at .. (The simplest instance of this idea is for the case when . is the circle, i.e., the one-torus .. For each ., we may then consider σ (.)
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