Model Selection and Multi-Model Inference

出版者:Springer

作者:Kenneth P. Burnham

页数:520

出版时间:2003-12-4

价格:GBP 104.00

装帧:Hardcover

isbn号码:9780387953649

图书标签:机器学习数学计算机科学statisticsMathematics

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.