Model Selection and Multimodel Inference
A Practical Information-Theoretic Approach
Kenneth P. Burnham | David R. Anderson
Mathematics / Probability & Statistics / General
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.
| Publication Date: |
01 December 2010 |
| Publisher: |
Springer New York |
| Imprint: |
Springer |
| ISBN-13: |
9781441929730 |
| Format: |
Paperback softback |
| Page Count: |
488 |