Model Selection and Multi-model Inference

Burnham, Kenneth P.; Anderson, David R.

ISBN 10: 0387953647 / ISBN 13: 9780387953649

Editore: Springer-Verlag New York Inc., 2002

Riguardo questo articolo

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. Codice articolo V9780387953649

Dati bibliografici

Titolo: Model Selection and Multi-model Inference

Casa editrice: Springer-Verlag New York Inc.

Data di pubblicazione: 2002

Legatura: Rilegato

Condizione: New

Edizione: seconda edizione

Descrizione articolo

Riassunto:

A unique and comprehensive text on the philosophy of model-based data analysis and strategy for the analysis of empirical data. The book 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. It contains several new approaches to estimating model selection uncertainty and incorporating selection uncertainty into estimates of precision. An array of examples is given to illustrate various technical issues. The text has been written for biologists and statisticians using models for making inferences from empirical data.

Contenuti:

Introduction * Information and Likelihood Theory: A Basis for Model Selection and Inference * Basic Use of the Information-Theoretic Approach * Formal Inference From More Than One Model: Multi-Model Inference (MMI) * Monte Carlo Insights and Extended Examples * Statistical Theory and Numerical Results * Summary