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Model Selection and Multi-Model Inference: A Practical Information-Theoretic
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Model Selection and Multi-Model Inference: A Practical Information-Theoretic Approach Hardcover - 2002

by Kenneth P. Burnham; David R. Anderson


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.

First line

This book is about making valid inferences from scientific data when a meaningful analysis depends on a model of the information in the data.

Details

  • Title Model Selection and Multi-Model Inference: A Practical Information-Theoretic Approach
  • Author Kenneth P. Burnham; David R. Anderson
  • Binding Hardcover
  • Edition 2nd
  • Pages 488
  • Volumes 1
  • Language ENG
  • Publisher Springer, New York, America.
  • Date 2002-07-12
  • Illustrated Yes
  • ISBN 9780387953649 / 0387953647
  • Weight 1.89 lbs (0.86 kg)
  • Dimensions 9.44 x 6.34 x 1.12 in (23.98 x 16.10 x 2.84 cm)
  • Themes
    • Topical: Ecology
  • Library of Congress subjects Biology - Mathematical models, Mathematical statistics
  • Library of Congress Catalog Number 2001057677
  • Dewey Decimal Code 570.151
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Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach
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Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach

by Burnham, Kenneth P.; Anderson, David R

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

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

by Burnham, Kenneth P.; Anderson, David R

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ISBN 10 / ISBN 13
9780387953649 / 0387953647
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Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach
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Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach

by Burnham, Kenneth P.; Anderson, David R

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