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Item Details
Title: ERROR AND THE GROWTH OF EXPERIMENTAL KNOWLEDGE
By: Deborah G. Mayo
Format: Paperback

List price: £45.00
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ISBN 10: 0226511987
ISBN 13: 9780226511986
Availability: Usually dispatched within 1-3 weeks.
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Publisher: THE UNIVERSITY OF CHICAGO PRESS
Pub. date: 15 August, 1996
Series: Science & Its Conceptual Foundations S.
Pages: 510
Description: 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 experiment. It seeks to address the needs of researchers who work with statistical analysis.
Synopsis: We may learn from our mistakes, but this work argues that, where experimental knowledge is concerned, we haven't begun to learn enough. It provides a critique of the subjective Bayesian view of statistical inference, and proposes the author's own error-statistical approach as a more robust framework for the epistemology of experiment. Deborah Mayo seeks to address the needs of researchers who work with statistical analysis, and simultaneously engages the basic philosophical problems of objectivity and rationality. Mayo has argued for an account of learning from error that goes beyond detecting logical inconsistencies. In this book, she presents her complete programme for how we learn about the world by being "shrewd inquisitors of error, white gloves off." Her approach should be relevant to philosophers, historians and sociologists of science, as well as researchers in the physical, biological and social sciences whose work depends upon statistical analysis.
Illustrations: 12 line drawings, 6 tables
Publication: US
Imprint: University of Chicago Press
Prizes: Winner of Lakatos Prize 1998
Returns: Returnable
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