Kenneth P. Burnham, David R. Anderson

Model Selection and Inference (eBook, PDF)

A Practical Information-Theoretic Approach

• Format: PDF

Produktbeschreibung

Statisticians and applied scientists must often select a model to fit empirical data. This book discusses the philosophy and strategy of selecting such a model using the information theory approach pioneered by Hirotugu Akaike. This approach focuses critical attention on a priori modeling and the selection of a good approximating model that best represents the inference supported by the data. The book includes practical applications in biology and environmental science.

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Produktdetails

• Verlag: Springer US
• Seitenzahl: 355
• Erscheinungstermin: 11. November 2013
• Englisch
• ISBN-13: 9781475729177
• Artikelnr.: 44059372