Model Based Inference in the Life Sciences is popular PDF and ePub book, written by David R. Anderson in 2007-12-22, it is a fantastic choice for those who relish reading online the Science genre. Let's immerse ourselves in this engaging Science book by exploring the summary and details provided below. Remember, Model Based Inference in the Life Sciences can be Read Online from any device for your convenience.
Model Based Inference in the Life Sciences Book PDF Summary
This textbook introduces a science philosophy called "information theoretic" based on Kullback-Leibler information theory. It focuses on a science philosophy based on "multiple working hypotheses" and statistical models to represent them. The text is written for people new to the information-theoretic approaches to statistical inference, whether graduate students, post-docs, or professionals. Readers are however expected to have a background in general statistical principles, regression analysis, and some exposure to likelihood methods. This is not an elementary text as it assumes reasonable competence in modeling and parameter estimation.
Detail Book of Model Based Inference in the Life Sciences PDF
- Author : David R. Anderson
- Release : 22 December 2007
- Publisher : Springer Science & Business Media
- ISBN : 9780387740751
- Genre : Science
- Total Page : 203 pages
- Language : English
- PDF File Size : 12,6 Mb
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