1. J. V. Howard (2009). Significance Testing with No Alternative Hypothesis: A Measure of Surprise. [REVIEW] Erkenntnis 70 (2):253 - 270.
    A pure significance test would check the agreement of a statistical model with the observed data even when no alternative model was available. The paper proposes the use of a modified p -value to make such a test. The model will be rejected if something surprising is observed (relative to what else might have been observed). It is shown that the relation between this measure of surprise (the s -value) and the surprise indices of Weaver and Good is similar (...)
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  2. J. V. Howard (1988). Cooperation in the Prisoner's Dilemma. Theory and Decision 24 (3):203-213.
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  3. J. V. Howard (1975). Computable Explanations. Mathematical Logic Quarterly 21 (1):215-224.
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