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Methodology in Practice: Statistical Misspecification Testing

Deborah G. Mayo and Aris Spanos
Philosophy of Science
Vol. 71, No. 5, Proceedings of the 2002 Biennial Meeting of The Philosophy of Science AssociationPart II: Symposia PapersEdited by Sandra D. Mitchell (December 2004), pp. 1007-1025
DOI: 10.1086/425064
Stable URL: http://www.jstor.org/stable/10.1086/425064
Page Count: 19
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Methodology in Practice: Statistical Misspecification Testing
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Abstract

The growing availability of computer power and statistical software has greatly increased the ease with which practitioners apply statistical methods, but this has not been accompanied by attention to checking the assumptions on which these methods are based. At the same time, disagreements about inferences based on statistical research frequently revolve around whether the assumptions are actually met in the studies available, e.g., in psychology, ecology, biology, risk assessment. Philosophical scrutiny can help disentangle ‘practical’ problems of model validation, and conversely, a methodology of statistical model validation can shed light on a number of issues of interest to philosophers of science.

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