| Error and the Growth of Experimental Knowledge Contributor(s): Mayo, Deborah G. (Author) |
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ISBN: 0226511979 ISBN-13: 9780226511979 Publisher: University of Chicago Press OUR PRICE: $138.60 Product Type: Hardcover Published: July 1996 Annotation: 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. |
| Additional Information |
| BISAC Categories: - Mathematics | Probability & Statistics - General - Science |
| Dewey: 001.434 |
| LCCN: 95026742 |
| Series: Science and Its Conceptual Foundations |
| Physical Information: 1.51" H x 6.32" W x 9.24" (1.70 lbs) 509 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |