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Error and the growth of experimental knowledge

Author: Deborah G Mayo
Publisher: Chicago Univ. of Chicago Press 2011
Series: Science and its conceptual foundations
Edition/Format:   Print book : English : Kolophon: Milton Keynes, UK : Lightning Source, 2011View all editions and formats
Summary:

This text provides a critique of the subjective Bayesian view of statistical inference, and proposes the author's own error-statistical approach as an alternative framework for the epistemology of  Read more...

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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Deborah G Mayo
ISBN: 0226511979 9780226511979 0226511987 9780226511986
OCLC Number: 846483686
Notes: Literaturverz. S. 465 - 480
Awards: Winner of Lakatos Prize 1998
Description: XVI, 493 Seiten Illustrationen, Diagramme 24 cm
Contents: Preface 1: Learning from Error 2: Ducks, Rabbits, and Normal Science: Recasting the Kuhn's-Eye View of Popper 3: The New Experimentalism and the Bayesian Way 4: Duhem, Kuhn, and Bayes 5: Models of Experimental Inquiry 6: Severe Tests and Methodological Underdetermination 7: The Experimental Basis from Which to Test Hypotheses: Brownian Motion 8: Severe Tests and Novel Evidence 9: Hunting and Snooping: Understanding the Neyman-Pearson Predesignationist Stance 10: Why You Cannot Be Just a Little Bit Bayesian 11: Why Pearson Rejected the Neyman-Pearson (Behavioristic) Philosophy and a Note on Objectivity in Statistics 12: Error Statistics and Peircean Error Correction 13: Toward an Error-Statistical Philosophy of Science References Index
Series Title: Science and its conceptual foundations
Responsibility: Deborah G. Mayo
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