Error and the growth of experimental knowledge
Deborah G. Mayo.
Bok Engelsk 1996 · Electronic books.
| Utgitt | Chicago : : University of Chicago Press, , 1996.
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| Omfang | 1 online resource (512 p.)
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| Opplysninger | Description based upon print version of record.. - Contents; 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. - 11. Why Pearson Rejected the Neyman-Pearson (Behavioristic) Philosophy and a Note on Objectivity in Statistics12. Error Statistics and Peircean Error Correction; 13. Toward an Error-Statistical Philosophy of Science; References; Index. - 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 ar
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| Emner | Bayesian statistical decision theory.
Error analysis (Mathematics) Science - Philosophy. Feilanalyse (Lingvistikk) : (NO-TrBIB)HUME06208 Vis mer... Feilanalyse
Filosofi Matematikk Målefeil Statistikk Vitenskapsfilosofi naturvitenskap filosofi vitenskapsfilosofi statistikk målefeil |
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| Dewey | |
| ISBN | 0226511979. - 0226511987
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