Error and Inference: Recent Exchanges on Experimental Reasoning, Reliability, and the Objectivity and Rationality of Science

Framsida
Deborah G. Mayo, Aris Spanos
Cambridge University Press, 30 sep. 2010 - 440 sidor
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 modeling 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.
 

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Innehåll

Introduction and Background
1
The ErrorStatistical Philosophy
15
Learning from Error Severe Testing and the Growth
28
TheLifeofTheoryintheNewExperimentalism
58
Can Scientific Theories Be Warranted with Severity?
73
Revisiting Critical Rationalism
88
Exchanges with Alan Musgrave
113
Theory Confirmation and Novel Evidence
125
New Perspectives on Some Old Problems
247
Objectivity and Conditionality in Frequentist Inference
276
An Error in the Argument from Conditionality
305
On a New Philosophy of Frequentist Inference
315
Causal Modeling Explanation and Severe Testing
331
Explanation and Testing Exchanges with Clark Glymour
351
Graphical Causal Modeling and Error Statistics
364
Error and LegalEpistemology
376

An Ad Hoc Save of a Theory of Adhocness?
155
Induction and Severe Testing
170
Sins of the Epistemic Probabilist
189
Theory Testing in Economics and the ErrorStatistical
202
Exchanges with Larry Laudan
397
Index
411
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Om författaren (2010)

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 Center 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.

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