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Summary

  • Kenneth P. Burnham
  • David R. Anderson

Abstract

This book covers some philosophy about data analysis, some theory at the interface between mathematical statistics and information theory, and some practical statistical methodology useful in the life sciences. In particular, we present a general strategy for modeling and data analysis. We provide some challenging examples from our fields of interest, provide our ideas as to what not to do, and suggest some areas needing further theoretical development. We side with the fast-growing ranks that see limited utility in statistical hypothesis testing. Finally, we provide references from the diverse literature on these subjects for those wishing to study further.

Keywords

Candidate Model Akaike Weight Valid Inference Statistical Hypothesis Testing Full Reality 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 1998

Authors and Affiliations

  • Kenneth P. Burnham
    • 1
  • David R. Anderson
    • 1
  1. 1.Colorado Cooperative Fish and Wildlife Research UnitColorado State UniversityFort CollinsUSA

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