Deborah G. Mayo
（2018年9月刊行，Cambridge University Press, Cambridge, xvi+486 pp., ISBN:978-1-107-05413-4 [hbk] → 版元ページ）
メイヨーさんの統計学本はどれも “破壊力” がありそうで． ハードカバー版をあえて買ったのはいざというときに投げr（やめなさい
【目次】
Preface xi
Acknowledgments xv
Excursion 1. How to Tell What's True about Statistical Inference
Tour I. Beyond probabilism and performance 3Tour II. Error probing tools vs. logics of evidence 30
Excursion 2. Taboos of Induction and Falsification
Tour I. Induction and confirmation 59Tour II. Falsification, pseudoscience, induction 75
Excursion 3. Statistical Tests and Scientific Inference
Tour I. Ingenious and severe tests 119Tour II. It's the methods, stupid 164
Tour III. Capability and severity: deeper concepts 189
Excursion 4. Objectivity and Auditing
Tour I. The myth of 'the myth of objectivity' 221Tour II. Rejection fallacies: whose exaggerating what? 239
Tour III. Auditing: biasing selection effects and randomization 267
Tour IV. More auditing: objectivity and model checking 296
Excursion 5. Power and Severity
Tour I. Power: pre-data and post-data 323Tour II. How not to corrupt power 353
Tour III. Deconstructing the N-P vs. Fisher debates 371
Excursion 6. (Probabilist) Foundations Lost, (Probative) Foundations Found
Tour I. What ever happened to Bayesian foundations? 395Tour II. Pragmatic and error statistical Bayesians 424
Souvenirs 445
References 446
Index 471
