Methodology in Practice: Statistical Misspecification Testing.

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 in...

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Publicado en:Philosophy of Science Vol. 71; no. 5; pp. 1007 - 1026
Autores principales: Mayo, Deborah G., Spanost, Aris
Formato: Artículo
Publicado: Cambridge University Press Dec2004
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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          Mayo, Deborah G.
          Spanost, Aris
        affil:
          Department of Philosophy, 235 Major Williams Hall, Virginia Tech, Blacksburg, VA 24061.
          Department of Economics, 3016 Pamplin Hall, Virginia Tech, Blacksburg, VA 24061.
      su:
        Computer software
        Statistics
        Risk assessment
        Philosophy of science
        Explanation
        Logical positivism
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        subj:
          Computer software
          Statistics
          Risk assessment
          Philosophy of science
          Explanation
          Logical positivism
      ab: 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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    language: English
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