Why Isn't Everyone a Bayesian?
Originally a talk delivered at a conference on Bayesian statistics, this article attempts to answer the following question: why is most scientific data analysis carried out in a non-Bayesian framework? The argument consists mainly of some practical examples of data analysis, in which the Bayesian ap...
| Veröffentlicht in: | The American Statistician. - American Statistical Association, 1947. - 40(1986), 1, Seite 1-5 |
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| 1. Verfasser: | |
| Format: | Online-Aufsatz |
| Sprache: | English |
| Veröffentlicht: |
1986
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| Zugriff auf das übergeordnete Werk: | The American Statistician |
| Schlagworte: | Fisherian Inference Frequentist Theory Neyman-Pearson-Wald Objectivity Mathematics Behavioral sciences Philosophy |
| Zusammenfassung: | Originally a talk delivered at a conference on Bayesian statistics, this article attempts to answer the following question: why is most scientific data analysis carried out in a non-Bayesian framework? The argument consists mainly of some practical examples of data analysis, in which the Bayesian approach is difficult but Fisherian/frequentist solutions are relatively easy. There is a brief discussion of objectivity in statistical analyses and of the difficulties of achieving objectivity within a Bayesian framework. The article ends with a list of practical advantages of Fisherian/frequentist methods, which so far seem to have outweighed the philosophical superiority of Bayesianism. |
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| ISSN: | 15372731 |
| DOI: | 10.2307/2683105 |