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Calibration of p Values for Testing Precise Null Hypotheses
Thomas Sellke, M. J. Bayarri and James O. Berger
The American Statistician
Vol. 55, No. 1 (Feb., 2001), pp. 62-71
Stable URL: http://www.jstor.org/stable/2685531
Page Count: 10
You can always find the topics here!Topics: P values, Frequentism, Conditional probabilities, Statistics, Calibration, Null hypothesis, Probabilities, Error rates, Simulations, Histograms
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P values are the most commonly used tool to measure evidence against a hypothesis or hypothesized model. Unfortunately, they are often incorrectly viewed as an error probability for rejection of the hypothesis or, even worse, as the posterior probability that the hypothesis is true. The fact that these interpretations can be completely misleading when testing precise hypotheses is first reviewed, through consideration of two revealing simulations. Then two calibrations of a p value are developed, the first being interpretable as odds and the second as either a (conditional) frequentist error probability or as the posterior probability of the hypothesis.
The American Statistician © 2001 American Statistical Association