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150323s1986 xx |||||o 00| ||eng c |
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|a 10.2307/2683105
|2 doi
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|a (DE-627)JST007735642
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|a (JST)2683105
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|a DE-627
|b ger
|c DE-627
|e rakwb
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|a eng
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|a Efron, B.
|e verfasserin
|4 aut
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|a Why Isn't Everyone a Bayesian?
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|c 1986
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|a Text
|b txt
|2 rdacontent
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|a Computermedien
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|a 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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|a Copyright 1986 American Statistical Association
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| 650 |
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|a Fisherian Inference
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|a Frequentist Theory
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| 650 |
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4 |
|a Neyman-Pearson-Wald
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| 650 |
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4 |
|a Objectivity
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| 650 |
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4 |
|a Mathematics
|x Pure mathematics
|x Probability theory
|x Probability interpretations
|x Frequentism
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| 650 |
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4 |
|a Behavioral sciences
|x Psychology
|x Cognitive psychology
|x Cognitive processes
|x Thought processes
|x Reasoning
|x Inference
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| 650 |
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4 |
|a Philosophy
|x Epistemology
|x Objectivity
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| 650 |
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4 |
|a Behavioral sciences
|x Psychology
|x Cognitive psychology
|x Cognitive processes
|x Decision making
|x Bayesian theories
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| 650 |
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4 |
|a Behavioral sciences
|x Psychology
|x Cognitive psychology
|x Decision theory
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| 650 |
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4 |
|a Mathematics
|x Applied mathematics
|x Statistics
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| 650 |
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4 |
|a Mathematics
|x Pure mathematics
|x Probability theory
|x Probabilities
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| 650 |
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4 |
|a Behavioral sciences
|x Psychology
|x Cognitive psychology
|x Cognitive processes
|x Decision making
|x Decision analysis
|x Decision trees
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| 650 |
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4 |
|a Mathematics
|x Applied mathematics
|x Statistics
|x Applied statistics
|x Statistical results
|x Statistical properties
|x Estimate reliability
|x Confidence interval
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| 650 |
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4 |
|a Mathematics
|x Applied mathematics
|x Analytics
|x Analytical estimating
|x Maximum likelihood estimation
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| 655 |
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4 |
|a research-article
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| 773 |
0 |
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|i Enthalten in
|t The American Statistician
|d American Statistical Association, 1947
|g 40(1986), 1, Seite 1-5
|w (DE-627)339869895
|w (DE-600)2064982-4
|x 15372731
|7 nnns
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| 773 |
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8 |
|g volume:40
|g year:1986
|g number:1
|g pages:1-5
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| 856 |
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|u https://www.jstor.org/stable/2683105
|3 Volltext
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|u https://doi.org/10.2307/2683105
|3 Volltext
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|a AR
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|d 40
|j 1986
|e 1
|h 1-5
|