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

Burnham, Kenneth P., Anderson, David R.

ISBN 10: 1441929738 / ISBN 13: 9781441929730

Editore: Springer, 2010

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Codice articolo ERICA77314419297386

Dati bibliografici

• Titolo: Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach
• Editore: Springer
• Data di pubblicazione: 2010
• Lingua: Inglese
• ISBN 10: 1441929738
• ISBN 13: 9781441929730
• Rilegatura: Paperback
• Condizione: Like New
• Tipo di libro: book

Descrizione articolo

Riassunto

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.

Contenuti

Introduction * Information and Likelihood Theory: A Basis for Model Selection and Inference * Basic Use of the Information-Theoretic Approach * Formal Inference From More Than One Model: Multi-Model Inference (MMI) * Monte Carlo Insights and Extended Examples * Statistical Theory and Numerical Results * Summary