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The American Statistician, Vol. 59, No. 2. (1 May 2005), pp. 121-126, doi:10.1198/000313005x20871 Key: citeulike:155496
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This article presents a simple example that illustrates the key differences and similarities between the Fisherian, Neyman-Pearson, and Bayesian approaches to testing. Implications for more complex situations are also discussed.
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