A predictive approach to measuring the strength of statistical evidence for single and multiple comparisons
نویسنده
چکیده
The normalized maximum likelihood (NML) is a recent penalized likelihood that has properties that justify de ning the amount of discrimination information (DI) in the data supporting an alternative hypothesis over a null hypothesis as the logarithm of an NML ratio, namely, the alternative hypothesis NML divided by the null hypothesis NML. The resulting DI, like the Bayes factor but unlike the p-value, measures the strength of evidence for an alternative hypothesis over a null hypothesis such that the
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