Winner of the 2009 Japan Statistical Association Publication Prize. The Akaike information criterion (AIC) derived as an estimator of the Kullback-Leibler information discrepancy provides a useful tool for evaluating statistical models, and numerous successful applications of the AIC have been re
Information Criteria and Statistical Modeling (Springer Series in Statistics)
โ Scribed by Sadanori Konishi, Genshiro Kitagawa
- Publisher
- Springer
- Year
- 2008
- Tongue
- English
- Leaves
- 287
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Statistical modeling is a critical tool in scientific research. This book provides comprehensive explanations of the concepts and philosophy of statistical modeling, together with a wide range of practical and numerical examples. The authors expect this work to be of great value not just to statisticians but also to researchers and practitioners in various fields of research such as information science, computer science, engineering, bioinformatics, economics, marketing and environmental science. Itโs a crucial area of study, as statistical models are used to understand phenomena with uncertainty and to determine the structure of complex systems. Theyโre also used to control such systems, as well as to make reliable predictions in various natural and social science fields.
โฆ Subjects
ะะฐัะตะผะฐัะธะบะฐ;ะขะตะพัะธั ะฒะตัะพััะฝะพััะตะน ะธ ะผะฐัะตะผะฐัะธัะตัะบะฐั ััะฐัะธััะธะบะฐ;ะะฐัะตะผะฐัะธัะตัะบะฐั ััะฐัะธััะธะบะฐ;
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