Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach (2nd ed. 2002)
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- Synopsis
- 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.
- Copyright:
- 2002
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9780387224565
- Related ISBNs:
- 9780387953649
- Publisher:
- Springer New York
- Date of Addition:
- 02/07/21
- Copyrighted By:
- N/A
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Science, Mathematics and Statistics, Medicine
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
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