Error and the growth of experimental knowledge /

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This text provides a critique of the subjective Bayesian view of statistical inference, and proposes the author's own error-statistical approach as an alternative framework for the epistemology of experiment. It seeks to address the needs of researchers who work with statistical analysis.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Mayo, Deborah G.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Chicago : University of Chicago Press, 1996.
Colección:Science and its conceptual foundations.
Temas:
Error analysis (Mathematics)
Bayesian statistical decision theory.
Science > Philosophy.
Théorie des erreurs.
Théorie de la décision bayésienne.
Sciences > Philosophie.
REFERENCE > Research.
Bayesian statistical decision theory
Science > Philosophy
Bayes-Entscheidungstheorie
Fehlerrechnung
Wissenschaftsphilosophie
Bayes-Verfahren
Fehleranalyse
Mathematik
Foutenleer.
Methode van Bayes.
Wetenschapsdynamica.
Teoria da decisao.
Inferencia estatistica.
Erreurs scientifiques.
Épistémologie.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Learning from Error
  • Ducks, Rabbits, and Normal Science: Recasting the Kuhn's-Eye View of Popper
  • The New Experimentalism and the Bayesian Way
  • Duhem, Kuhn, and Bayes
  • Models of Experimental Inquiry
  • Severe Tests and Methodological Underdetermination
  • The Experimental Basis from Which to Test Hypotheses: Brownian Motion
  • Severe Tests and Novel Evidence
  • Hunting and Snooping: Understanding the Neyman-Pearson Predesignationist Stance
  • Why You Cannot Be Just a Little Bit Bayesian
  • Why Pearson Rejected the Neyman-Pearson (Behavioristic) Philosophy and a Note on Objectivity in Statistics
  • Error Statistics and Peircean Error Correction
  • Toward an Error-Statistical Philosophy of Science.

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