Error and the Growth of Experimental Knowledge - Rilegato

Mayo, Deborah G.

Rilegato

ISBN 10: 0226511979 ISBN 13: 9780226511979

Casa editrice: Univ of Chicago Pr, 1996

Riassunto

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.

Su questo libro

Product Description

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.

Dettagli dell'edizione

• Editore: Univ of Chicago Pr
• Data di pubblicazione: 1996
• Lingua: Inglese
• ISBN 10: 0226511979
• ISBN 13: 9780226511979
• Rilegatura: Copertina rigida
• Numero di pagine: 493
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile