Chapters in this book

1. Frontmatter i
2. Contents vii
3. Preface ix
4. 1. Learning from Error 1
5. 2. Ducks, Rabbits, and Normal Science: Recasting the Kuhn's-Eye View of Popper 21
6. 3. The New Experimentalism and the Bayesian Way 57
7. 4. Duhem, Kuhn, and Bayes 102
8. 5. Models of Experimental Inquiry 128
9. 6. Severe Tests and Methodological Underdetermination 174
10. 7. The Experimental Basis from Which to Test Hypotheses: Brownian Motion 214
11. 8. Severe Tests and Novel Evidence 251
12. 9. Hunting and Snooping: Understanding the Neyman-Pearson Predesignationist Stance 294
13. 10. Why You Cannot Be Just a Little Bit Bayesian 319
14. 11. Why Pearson Rejected the Neyman-Pearson (Behavioristic) Philosophy and a Note on Objectivity in Statistics 361
15. 12. Error Statistics and Peircean Error Correction 412
16. 13. Toward an Error-Statistical Philosophy of Science 442
17. References 465
18. Index 481