Model Selection and Multimodel Inference is popular PDF and ePub book, written by Kenneth P. Burnham in 2007-05-28, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Model Selection and Multimodel Inference can be Read Online from any device for your convenience.
Model Selection and Multimodel Inference Book PDF Summary
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.
Detail Book of Model Selection and Multimodel Inference PDF
- Author : Kenneth P. Burnham
- Release : 28 May 2007
- Publisher : Springer Science & Business Media
- ISBN : 9780387224565
- Genre : Mathematics
- Total Page : 512 pages
- Language : English
- PDF File Size : 11,8 Mb
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