Model Selection and Inference
A Practical Information-Theoretic Approach
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
Weitere Autoren: Anderson, David R.
- ISBN: 978-1-4757-2917-7
- EAN: 9781475729177
- Produktnummer: 37291117
- Verlag: Springer New York
- Sprache: Englisch
- Erscheinungsjahr: 2013
- Seitenangabe: 355 S.
- Plattform: PDF
- Auflage: 1998
3 weitere Werke von Kenneth P. Burnham:
Model Selection and Multimodel Inference
A Practical Information-Theoretic Approach
A Practical Information-Theoretic Approach
Ebook (PDF Format)
CHF 130.00
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