Measurement of Statistical Evidence: Picking Up Where Hacking and Others Left Off.

Hacking's Law of Likelihood says--paraphrasing--that data support hypothesis H1 over hypothesis H2 whenever the likelihood ratio (LR) for H1 over H exceeds 1. But Hacking later noted a seemingly fatal flaw in the LR itself: it cannot be interpreted as the degree of "evidential significance" across a...

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Publicado en:Philosophy of Science Vol. 84; no. 5; pp. 853 - 866
Autor principal: Vieland, Veronica J.
Formato: Artículo
Publicado: Cambridge University Press Dec2017
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Acceso en línea:Ver este registro en EBSCOhost
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        atl: Measurement of Statistical Evidence: Picking Up Where Hacking and Others Left Off.
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        au: Vieland, Veronica J.
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        Computer hacking
        Hypothesis
        Philosophers
        Likelihood ratio tests
        Evidentialism
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          Computer hacking
          Hypothesis
          Philosophers
          Likelihood ratio tests
          Evidentialism
      ab: Hacking's Law of Likelihood says--paraphrasing--that data support hypothesis H1 over hypothesis H2 whenever the likelihood ratio (LR) for H1 over H exceeds 1. But Hacking later noted a seemingly fatal flaw in the LR itself: it cannot be interpreted as the degree of "evidential significance" across applications. I agree with Hacking about the problem, but I do not believe the condition is incurable. I argue here that the LR can be properly calibrated with respect to the underlying evidence, and I sketch the rudiments of a methodology for so doing.
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