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

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. Read More

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. Read Less

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  	This is a digital edition of this title. Rent eBook (5 Options) 30 Day Rental: $56.70 (Expires May 28, 2024) 60 Day Rental: $75.60 (Expires Jun 27, 2024) 90 Day Rental: $94.50 (Expires Jul 27, 2024) 120 Day Rental: $113.40 (Expires Aug 26, 2024) 180 Day Rental: $122.85 (Expires Oct 25, 2024) Buy eBook Lifetime Access: $189.00 Title: Model Selection and Multimodel Inference by Kenneth P. Burnham; David R. Anderson Publisher: Springer Nature Print ISBN: 9780387953649, 0387953647 eText ISBN: 9780387224565 Edition: 2002 2nd edition Format: PDF eBook	$56.70 Rent eBook This is a digital eBook Nothing will be shipped to you Works with web browsers and the VitalSource app on all Windows, Mac, Chromebook, Kindle Fire, iOS, and Android devices Most eBooks are returnable within 14 days of purchase Questions? See our eBook FAQ