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Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach

Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach

Model Selection and Multimodel Inference: A Practical Information-Theoretic
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Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach Paperback - 2010

by Burnham, Kenneth P. P.; Anderson, David R

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Springer. Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
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Details

  • Title Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach
  • Author Burnham, Kenneth P. P.; Anderson, David R
  • Binding Paperback
  • Condition Used - Very good
  • Pages 488
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Publication date 2010-12-01
  • Bookseller's Inventory # 1441929738-8-1
  • ISBN 9781441929730 / 1441929738
  • Weight 1.58 lbs (0.72 kg)
  • Dimensions 9.21 x 6.14 x 1.04 in (23.39 x 15.60 x 2.64 cm)
  • Themes
    • Topical: Ecology
  • Category Science
  • Dewey Decimal Code 570.151
  • Quantity available 1

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Reader reviews for Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach

From the publisher

Statisticians and applied scientists often must select a model to fit empirical data. This book introduces researchers and graduate students in many areas to an information criterion approach, first introduced by Hirotugu Akaike in 1973. The book will be of general interest, but the emphasis is on applications to the biological sciences.
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