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A Maximum Entropy Estimate of Uncertainty about a Wine Rating

Jeff Bodington

No 321847, Working Papers from American Association of Wine Economists

Abstract: Much research shows that the ratings that judges assign to wines are uncertain and an acute difficulty in ratings-related research, and in calculating consensus among judges, is that each rating is one observation drawn from a unique and latent distribution that is wine- and judge-specific. A simple maximum entropy estimator is proposed that yields a maximum-entropy probability distribution for sample sizes of none, one, and more. A test of that estimator yields results that are consistent with the results of experiments in which blind replicates are embedded within flights of wines evaluated by trained and tested judges

Keywords: Research Methods/ Statistical Methods; Agribusiness (search for similar items in EconPapers)
Pages: 19
Date: 2021
New Economics Papers: this item is included in nep-agr and nep-ecm
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DOI: 10.22004/ag.econ.321847

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