Error and the Growth of Experimental Knowledge

Preface
1: Learning from Error
2: Ducks, Rabbits, and Normal Science: Recasting the Kuhn's-Eye View of
Popper
3: The New Experimentalism and the Bayesian Way
4: Duhem, Kuhn, and Bayes
5: Models of Experimental Inquiry
6: Severe Tests and Methodological Underdetermination
7: The Experimental Basis from Which to Test Hypotheses: Brownian Motion
8: Severe Tests and Novel Evidence
9: Hunting and Snooping: Understanding the Neyman-Pearson
Predesignationist Stance
10: Why You Cannot Be Just a Little Bit Bayesian
11: Why Pearson Rejected the Neyman-Pearson (Behavioristic) Philosophy
and a Note on Objectivity in Statistics
12: Error Statistics and Peircean Error Correction
13: Toward an Error-Statistical Philosophy of Science
References
Index