Error and the Growth of Experimental Knowledge
Deborah G. Mayo
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.
Year:
1996
Edition:
1
Publisher:
University of Chicago Press
Language:
english
Pages:
509
ISBN 10:
0226511979
ISBN 13:
9780226511979
Series:
Science and Its Conceptual Foundations series (34 books)
File:
PDF, 26.80 MB
IPFS:
,
english, 1996