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Error and the Growth of Experimental Knowledge.
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'...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Chicago :
University of Chicago Press,
1996.
|
| Colección: | Science and its conceptual foundations.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 049 | |a UAMI | ||
| 100 | 1 | |a Mayo, Deborah G. | |
| 245 | 1 | 0 | |a Error and the Growth of Experimental Knowledge. |
| 260 | |a Chicago : |b University of Chicago Press, |c 1996. | ||
| 300 | |a 1 online resource (512 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Science and Its Conceptual Foundations | |
| 520 | |a 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. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a Preface; 1. Learning from Error; 2. Ducks, Rabbits, and Normal Science: Recasting the Kuhn's-Eye View of Popper; 3. The New Experimentalism and the Bayesian Way; 4. Duhem, Kuhn, and Bayes; 5. Models of Experimental Inquiry; 6. Severe Tests and Methodological Underdetermination; 7. The Experimental Basis from Which to Test Hypotheses: Brownian Motion; 8. Severe Tests and Novel Evidence; 9. Hunting and Snooping: Understanding the Neyman-Pearson Predesignationist Stance; 10. Why You Cannot Be Just a Little Bit Bayesian. | |
| 504 | |a Includes bibliographical references (p. 465-480) and index. | ||
| 546 | |a English. | ||
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Bayesian statistical decision theory. | |
| 650 | 0 | |a Error analysis (Mathematics) | |
| 650 | 0 | |a Science |x Philosophy. | |
| 650 | 6 | |a Théorie de la décision bayésienne. | |
| 650 | 6 | |a Théorie des erreurs. | |
| 650 | 7 | |a SCIENCE / General. |2 bisacsh | |
| 650 | 7 | |a Bayesian statistical decision theory |2 fast | |
| 650 | 7 | |a Error analysis (Mathematics) |2 fast | |
| 650 | 7 | |a Science |x Philosophy |2 fast | |
| 653 | |a experimental knowledge, statistical inference, error-statistical approach, experiment, analysis, objectivity, rationality, logical inconsistencies, error, errors, mathematics, math, bayesian decision theory, science, methodological underdetermination, brownian motion, neyman-pearson predesignationist stance, peircean correction, inquiry. | ||
| 758 | |i has work: |a Error and the growth of experimental knowledge (Text) |1 https://id.oclc.org/worldcat/entity/E39PCGkXBrHTJkftXQrQMbv6Td |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a Mayo, Deborah G. |t Error and the Growth of Experimental Knowledge. |d Chicago : The University of Chicago Press, ©1996 |z 9780226511986 |
| 830 | 0 | |a Science and its conceptual foundations. | |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=648144 |z Texto completo |
| 938 | |a De Gruyter |b DEGR |n 9780226511993 | ||
| 938 | |a ProQuest MyiLibrary Digital eBook Collection |b IDEB |n 305840 | ||
| 938 | |a ProQuest Ebook Central |b EBLB |n EBL648144 | ||
| 994 | |a 92 |b IZTAP | ||