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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 |
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| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Chicago :
University of Chicago Press,
1996.
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| Colección: | Science and its conceptual foundations.
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| Temas: | |
| Acceso en línea: | Texto completo |
| Sumario: | 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. |
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| Descripción Física: | 1 online resource (512 pages) |
| Bibliografía: | Includes bibliographical references (p. 465-480) and index. |
| ISBN: | 9780226511993 0226511995 1283058405 9781283058407 9786613058409 6613058408 |