Model Based Inference in the Life Sciences
Author | : David R. Anderson |
Publisher | : Springer Science & Business Media |
Total Pages | : 203 |
Release | : 2007-12-22 |
ISBN-13 | : 9780387740751 |
ISBN-10 | : 0387740759 |
Rating | : 4/5 (59 Downloads) |
Download or read book Model Based Inference in the Life Sciences written by David R. Anderson and published by Springer Science & Business Media. This book was released on 2007-12-22 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.