Error and the Growth of Experimental Knowledge.

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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'...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Mayo, Deborah G.
Format: Electronic eBook
Language:Inglés
Published: Chicago : University of Chicago Press, 1996.
Series:Science and its conceptual foundations.
Subjects:
Bayesian statistical decision theory.
Error analysis (Mathematics)
Science > Philosophy.
Théorie de la décision bayésienne.
Théorie des erreurs.
SCIENCE / General.
Bayesian statistical decision theory
Science > Philosophy
experimental knowledge, statistical inference, error-statistical approach, experiment, analysis, objectivity, rationality, logical inconsistencies, error, errors, mathematics, math, bayesian decision theory, science, methodological underdetermination, brownian motion, neyman-pearson predesignationist stance, peircean correction, inquiry.
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