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      A classical measure of evidence for general null hypotheses

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          Abstract

          In science, the most widespread statistical quantities are perhaps \(p\)-values. A typical advice is to reject the null hypothesis \(H_0\) if the corresponding p-value is sufficiently small (usually smaller than 0.05). Many criticisms regarding p-values have arisen in the scientific literature. The main issue is that in general optimal p-values (based on likelihood ratio statistics) are not measures of evidence over the parameter space \(\Theta\). Here, we propose an \emph{objective} measure of evidence for very general null hypotheses that satisfies logical requirements (i.e., operations on the subsets of \(\Theta\)) that are not met by p-values (e.g., it is a possibility measure). We study the proposed measure in the light of the abstract belief calculus formalism and we conclude that it can be used to establish objective states of belief on the subsets of \(\Theta\). Based on its properties, we strongly recommend this measure as an additional summary of significance tests. At the end of the paper we give a short listing of possible open problems.

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          Testing a Point Null Hypothesis: The Irreconcilability of P Values and Evidence

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            Possibility theory and statistical reasoning

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              Bayes Factors: What They Are and What They Are Not

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                Author and article information

                Journal
                01 January 2012
                2013-11-15
                Article
                10.1016/j.fss.2013.03.007
                1201.0400
                26c9c2b4-7311-4cd9-a87f-989699b47405

                http://arxiv.org/licenses/nonexclusive-distrib/1.0/

                History
                Custom metadata
                Fuzzy sets and Systems, 233, 74-88, 2013
                26 pages, one figure and one table. Corrected version
                math.ST stat.ME stat.TH

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