Error and the Growth of Experimental Knowledge

Deborah G. Mayo

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English

University of Chicago Press
15 August 1996

Social research & statistics; Philosophy of science; Scientific equipment, experiments & techniques; Physics

Series: Science and Its Conceptual Foundations series

We may learn from our mistakes, but Deborah Mayo argues that, where experimental knowledge is concerned, we haven't begun to learn enough. Error and the Growth of Experimental Knowledge launches a vigorous critique of the subjective Bayesian view of statistical inference, and proposes Mayo's own error-statistical approach as a more robust framework for the epistemology of experiment. Mayo genuinely addresses the needs of researchers who work with statistical analysis, and simultaneously engages the basic philosophical problems of objectivity and rationality.

Mayo has long argued for an account of learning from error that goes far beyond detecting logical inconsistencies. In this book, she presents her complete program for how we learn about the world by being ""shrewd inquisitors of error, white gloves off."" Her tough, practical approach will be important to philosophers, historians, and sociologists of science, and will be welcomed by researchers in the physical, biological, and social sciences whose work depends upon statistical analysis.

By: Deborah G. Mayo
Imprint: University of Chicago Press
Country of Publication: United States
Edition: 2nd ed.
Dimensions: Height: 24mm, Width: 16mm, Spine: 3mm
Weight: 765g
ISBN: 9780226511986
ISBN 10: 0226511987
Series: Science and Its Conceptual Foundations series
Pages: 509
Publication Date: 15 August 1996
Audience: College/higher education , Professional and scholarly , Professional & Vocational , A / AS level , Further / Higher Education
Format: Paperback
Publisher's Status: Active