Bayes Factors: What They are and What They are Not
Bayes factors have been offered by Bayesians as alternatives to P values (or significance probabilities) for testing hypotheses and for quantifying the degree to which observed data support or conflict with a hypothesis. In an earlier article, Schervish showed how the interpretation of P values as m...
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| Veröffentlicht in: | The American statistician 1999-05, Vol.53 (2), p.119-122 |
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| container_title | The American statistician |
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| creator | Lavine, Michael Schervish, Mark J. |
| description | Bayes factors have been offered by Bayesians as alternatives to P values (or significance probabilities) for testing hypotheses and for quantifying the degree to which observed data support or conflict with a hypothesis. In an earlier article, Schervish showed how the interpretation of P values as measures of support suffers a certain logical flaw. In this article, we show how Bayes factors suffer that same flaw. We investigate the source of that problem and consider what are the appropriate interpretations of Bayes factors. |
| doi_str_mv | 10.1080/00031305.1999.10474443 |
| format | Article |
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| ispartof | The American statistician, 1999-05, Vol.53 (2), p.119-122 |
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| source | Periodicals Index Online; JSTOR Mathematics & Statistics; Jstor Complete Legacy |
| subjects | Bayes rule Bayesian analysis Exact sciences and technology Mathematics Measure of support Multivariate analysis P values Probabilities Probability and statistics Sciences and techniques of general use Statistics |
| title | Bayes Factors: What They are and What They are Not |
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