The average rating for Model Based Inference in the Life Sciences: A Primer on Evidence based on 2 reviews is 4.5 stars.
Review # 1 was written on 2011-08-18 00:00:00 James Johnson My second recent 'for-fun' textbook. I thought this was extremely well written. Anderson makes a concise case for using mathematical models as tools for inferring structure in biological processes. He simplifies statistical theory in palatable concepts which seem very tractable to apply. I picked this up to supplement my understanding of information theoretic metrics for comparing different models and found that this text gave me new ideas to test in my project. |
Review # 2 was written on 2014-09-21 00:00:00 Jimmy Bob A surprisingly readable outline of the issues regarding model selection using Kullback-Leibler information. Anderson includes a number of interesting history of science summaries along with his methodological descriptions. |
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