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
Descripción
Sumario: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.
"We may learn from our mistakes, but Deborah Mayo argues that, where experimental knowledge is concerned, we haven't begun to learn enough. Error and the Growth of Experimental Knowledge launches a vigorous critique of the subjective Bayesian view of statistical inference, and proposes Mayo's own error-statistical approach as a more robust framework for the epistemology of experiment. Mayo genuinely addresses the needs of researchers who work with statistical analysis, and simultaneously engages the basic philosophical problems of objectivity and rationality. Mayo has long argued for an account of learning from error that goes far beyond detecting logical inconsistencies. In this book, she presents her complete program for how we learn about the world by being "shrewd inquisitors of error, white gloves off." Her tough, practical approach will be important to philosophers, historians, and sociologists of science, and will be welcomed by researchers in the physical, biological, and social sciences whose work depends upon statistical analysis"--Publisher description
Descripción Física:1 online resource (xvi, 493 pages) : illustrations
Bibliografía:Includes bibliographical references (pages 465-480) and index.
ISBN:9780226511993
0226511995

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