Reassessing Accuracy Rates of Median Decisions

Giuseppe Sanfilippo, Andrea Capotorti, Frank Lad

Risultato della ricerca: Articlepeer review

18 Citazioni (Scopus)

Abstract

We show how Bruno de Finetti''s fundamental theorem of prevision has computable applications in statistical problems that involve only partial information. Specifically, we assess accuracy rates for median decision procedures used in the radiological diagnosis of asbestosis. Conditional exchangeability of individual radiologists'' diagnoses is recognized as more appropriate than independence which is commonly presumed. The FTP yields coherent bounds on probabilities of interest when available information is insufficient to determine a complete distribution. Further assertions that are natural to the problem motivate a partial ordering of conditional probabilities, extending the computation from a linear to a quadratic programming problem.
Lingua originaleEnglish
pagine (da-a)132-138
RivistaTHE AMERICAN STATISTICIAN
Volume61, N.2
Stato di pubblicazionePublished - 2007

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • ???subjectarea.asjc.2600.2600???
  • Statistics, Probability and Uncertainty

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