D. Mayo Publications



                 Chapter 1 Learning from Error

                 Chapter 2 Ducks, Rabbits, and Normal Science: Recasating the Kuhn's-Eye View of Popper

                 Chapter 3 The New Experimentalism and the Bayesian Way

                 Chapter 4 Duhem, Kuhn, and Bayes

                 Chapter 5 Models of Experimental Inquiry

                 Chapter 6 Severe Tests and Methodological Underdeterminism

                 Chapter 7 The Experimental Basis from Which to Test Hypotheses: Brownian Motion

                 Chapter 8 Severe Tests and Novel Evidence

                 Chapter 9 Hunting and Snooping: Understanding the Neyman-Pearson Predesignationiest Stance

                 Chapter 10 Why You Cannot Be Just a Little Bayesian

                 Chapter 11 Why Pearson Rejected the Neyman-Pearson (Behavioristic) Philosophy and a Note on Objectivity in Statistics

                 Chapter 12 Error Statistics and Peircean Error Correction

                 Chapter 13 Towards and Error-Statistical Phlosophy of Science


Philosophy of Statistics:

Commentaries (Philosophy of Statistics):

General Philosophy of Science:

Philosophy of Specific Sciences, Risk & Policy:

Commentaries (Philosophy of Special Sciences, Risk & Policy):