Error and Inference

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

Nonfiction, Science & Nature, Science, Other Sciences, Philosophy & Social Aspects, Mathematics
Cover of the book Error and Inference by , Cambridge University Press
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Author: ISBN: 9780511700583
Publisher: Cambridge University Press Publication: October 26, 2009
Imprint: Cambridge University Press Language: English
Author:
ISBN: 9780511700583
Publisher: Cambridge University Press
Publication: October 26, 2009
Imprint: Cambridge University Press
Language: English

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 the 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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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 the 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.

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