Error and Inference

Recent Exchanges on Experimental Reasoning, Reliability, and the Objectivity and Rationality of Science
Erscheinungsjahr 2011
ISBN: 978-0-521-88008-4
Verlag: Cambridge University Press

Buch, Englisch, 438 Seiten, Format (B × H): 157 mm x 235 mm, Gewicht: 858 g

Although both philosophers and scientists are interested in how to obtain reliable knowledge in the face of error, there is a gap between their perspectives that has been an obstacle to progress. By means of a series of exchanges between the editors and leaders from philosophy of science, statistics, and economics, this volume offers a cumulative introduction connecting problems of traditional philosophy of science to problems of inference in statistical and empirical modelling practice. Philosophers of science and scientific practitioners are challenged to reevaluate the assumptions of their own theories - philosophical or methodological. Practitioners may better appreciate the foundational issues around which their questions revolve and thereby become better 'applied philosophers'. Conversely, new avenues emerge for finally solving recalcitrant philosophical problems of induction, explanation, and theory testing.

Autoren/Hrsg.

Mayo, Deborah G.

Spanos, Aris

Fachgebiete

• Geisteswissenschaften Philosophie Philosophie der Mathematik, Philosophie der Physik
• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
• Mathematik | Informatik Mathematik Mathematik Allgemein Philosophie der Mathematik
• Geisteswissenschaften Philosophie Wissenschaftstheorie, Wissenschaftsphilosophie

Inhaltsverzeichnis

Part I. Introduction and Background: 1. Philosophy of methodological practice Deborah Mayo
2. Error statistical philosophy Deborah Mayo and Aris Spanos
Part II: 3. Severe testing, error statistics, and the growth of theoretical knowledge Deborah Mayo
Part III: 4. Can scientific theories be warranted? Alan Chalmers
5. Can scientific theories be warranted with severity? Exchanges with Alan Chalmers Deborah Mayo
Part IV: 6. Critical rationalism, explanation and severe tests Alan Musgrave
7. Towards progressive critical rationalism: exchanges with Alan Musgrave Deborah Mayo
Part V: 8. Error, tests and theory-confirmation John Worrall
9. Has Worrall saved his theory (on ad hoc saves) in a non ad hoc manner? Exchanges with Worrall Deborah Mayo
Part VI: 10. Mill's sins, or Mayo's errors? Peter Achinstein
11. Sins of the Bayesian epistemologist: exchanges with Achinstein Deborah Mayo
Part VII: 12. Theory testing in economics and the error statistical perspective Aris Spanos
Part VIII: 13. Frequentist statistics as a theory of inductive inference Deborah Mayo and David Cox
14. Objectivity and conditionality in Frequentist inference David Cox and Deborah Mayo
15. An error in the argument from WCP and S to the SLP Deborah Mayo
16. On a new philosophy of Frequentist inference: exchanges with Cox and Mayo Aris Spanos
Part IX: 17. Explanation and truth Clark Glymour
18. Explanation and testing: exchanges with Glymour Deborah Mayo
19. Graphical causal modeling and error statistics: exchanges with Glymour Aris Spanos
Part X: 20. Legal epistemology: the anomaly of affirmative defenses Larry Laudan
21. Error and the law: exchanges with Laudan Deborah Mayo.

Über Autor(innen)

Spanos, Aris
Aris Spanos is Wilson Schmidt Professor of Economics at Virginia Tech. He has also taught at Birkbeck College London, the University of Cambridge, the University of California, and the University of Cyprus. Professor Spanos is the author of Probability Theory and Statistical Inference (1999) and Statistical Foundations of Econometric Modeling (1986), both published by Cambridge University Press. Professor Spanos's research has appeared in journals such as the Journal of Econometrics, Econometric Theory, Econometric Reviews, and Philosophy of Science. His research interests include the philosophy and methodology of statistical inference and modeling, foundational problems in statistics, statistical adequacy, misspecification testing and respecification, resampling and simulation techniques and modeling speculative prices.

Mayo, Deborah G.
Deborah G. Mayo is a professor in the Department of Philosophy at Virginia Polytechnic Institute and State University, known as Virginia Tech, and holds a visiting appointment in the Centre for the Philosophy of Natural and Social Science at the London School of Economics. She is the author of Error and the Growth of Experimental Knowledge, which in 1998 won the Lakatos Prize, awarded for the most outstanding contribution to philosophy of science during the previous six years. Professor Mayo coedited the volume Acceptable Evidence: Science and Values in Risk Management (1991, with R. Hollander) and has published numerous articles on the philosophy and history of science and foundations of statistics and experimental inference and in interdisciplinary works on evidence relevant for regulation and policy.

Deborah G. Mayo is a professor in the Department of Philosophy at Virginia Polytechnic Institute and State University, known as Virginia Tech, and holds a visiting appointment in the Centre for the Philosophy of Natural and Social Science at the London School of Economics. She is the author of Error and the Growth of Experimental Knowledge, which in 1998 won the Lakatos Prize, awarded for the most outstanding contribution to philosophy of science during the previous six years. Professor Mayo coedited the volume Acceptable Evidence: Science and Values in Risk Management (1991, with R. Hollander) and has published numerous articles on the philosophy and history of science and foundations of statistics and experimental inference and in interdisciplinary works on evidence relevant for regulation and policy.

Aris Spanos is Wilson Schmidt Professor of Economics at Virginia Tech. He has also taught at Birkbeck College London, the University of Cambridge, the University of California, and the University of Cyprus. Professor Spanos is the author of Probability Theory and Statistical Inference (1999) and Statistical Foundations of Econometric Modeling (1986), both published by Cambridge University Press. Professor Spanos's research has appeared in journals such as the Journal of Econometrics, Econometric Theory, Econometric Reviews, and Philosophy of Science. His research interests include the philosophy and methodology of statistical inference and modeling, foundational problems in statistics, statistical adequacy, misspecification testing and respecification, resampling and simulation techniques and modeling speculative prices.