『Error and the Growth of Experimental Knowledge』

Deborah G. Mayo

(1996年刊行,University of Chicago Press,ISBN:0226511979 [hbk] / ISBN:0226511987 [pbk] )



実験科学の哲学.本書では,統計学的推論に関する「error-statistics」が新たに提唱されている.なお,Systematic Biology 誌に Dan Faith によるとても長い書評が載っている(Vol. 48, no. 3, pp. 675-679: doi:10.1080/106351599260247).

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