This textbook introduces a science philosophy called qinformation theoreticq based on Kullback-Leibler information theory. It focuses on a science philosophy based on qmultiple working hypothesesq 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.Inferential problems when using convenience sampling are outlined by Anderson (2001), but see also Hairston (1989) and ... data is possible and assists in discriminating between alternative hypotheses about routes of disease transmission. ... What is awronga in merely presenting the eight estimates of flour beetle mortality probability as a function of dose level, either in a table or a simple graph? Why goanbsp;...
|Title||:||Model Based Inference in the Life Sciences|
|Author||:||David R. Anderson|
|Publisher||:||Springer Science & Business Media - 2007-12-22|