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This paper introduces the nonparametric predictive inference approach for reproducibility of likelihood ratio tests. The general idea of this approach is outlined for tests between two simple hypotheses, followed by… Click to show full abstract
This paper introduces the nonparametric predictive inference approach for reproducibility of likelihood ratio tests. The general idea of this approach is outlined for tests between two simple hypotheses, followed by an investigation of reproducibility for tests between two beta distributions. The paper reports on the first steps of a wider research programme towards tests involving composite hypotheses and substantial computational challenges.
Keywords:
reproducibility likelihood;
reproducibility;
likelihood ratio;
ratio tests;
nonparametric predictive;
predictive inference
Journal Title: Journal of Statistical Theory and Practice
Year Published: 2018
Link to full text (if available)
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Journal Title: Journal of Statistical Theory and Practice
Year Published: 2018
Link to full text (if available)
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recommendations!