Model Selection and Multi-Model Inference
Kenneth P. Burnham, David Anderson
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.
년:
2002
판:
2nd
출판사:
Springer
언어:
english
페이지:
496
ISBN 10:
0387953647
ISBN 13:
9780387953649
파일:
PDF, 2.69 MB
IPFS:
,
english, 2002
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