Acceptibility, Evidence, and Severity

The notion of a severe test has played an important methodological role in the history of science. But it has not until recently been analyzed in any detail. We develop a generally Bayesian analysis of the notion, compare it with Deborah Mayo's error-statistical approach by way of sample diagno...

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Veröffentlicht in:Synthese (Dordrecht) 2006-01, Vol.148 (2), p.259-293
Hauptverfasser: Bandyopadhyay, Prasanta S., Brittan, Gordon G.
Format: Artikel
Sprache:eng
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Zusammenfassung:The notion of a severe test has played an important methodological role in the history of science. But it has not until recently been analyzed in any detail. We develop a generally Bayesian analysis of the notion, compare it with Deborah Mayo's error-statistical approach by way of sample diagnostic tests in the medical sciences, and consider various objections to both. At the core of our analysis is a distinction between evidence and confirmation or belief. These notions must be kept separate if mistakes are to be avoided; combined in the right way, they provide an adequate understanding of severity.
ISSN:0039-7857
1573-0964
DOI:10.1007/s11229-004-6222-6