Model Selection and Multi-model Inference

Burnham, Kenneth P.; Anderson, David R.

ISBN 10: 0387953647 / ISBN 13: 9780387953649

Edité par Springer-Verlag New York Inc., 2002

A comprehensive text on the philosophy of model-based data analysis and strategy for the analysis of empirical data. It introduces information theoretic approaches and focuses critical attention on a priori modeling and the selection of a good approximating model that best represents the inference supported by the data. Num Pages: 488 pages, 51 black & white tables, biography. BIC Classification: PBWH; PDE; TBJ. Category: (P) Professional & Vocational. Dimension: 239 x 163 x 34. Weight in Grams: 934. . 2002. 2nd ed. 2002. Corr. 3rd printing 2003. Hardback. . . . . Books ship from the US and Ireland. N° de réf. du vendeur V9780387953649

Synopsis :

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.

Détails bibliographiques

Titre : Model Selection and Multi-model Inference
Éditeur : Springer-Verlag New York Inc.
Date d'édition : 2002
Reliure : Couverture rigide
Etat : New
Edition : 2ème Édition