Contact
AAWE
Economics Department
New York University
19 W. 4th Street, 6FL
New York, NY 10012, U.S.A.
Tel: (212) 992-8083
Fax: (212) 995-4186
E-Mail: karl.storchmann@nyu.edu
Much research shows that the ratings that judges assign to the same wine are uncertain. And while the ratings may be independent, research also shows that they are not identi- cally distributed. Thus, an acute difficulty in ratings-related research and in calculating consensus among judges is that each rating is one observation drawn from a latent distri- bution that is wine- and judge-specific. What can be deduced about the shape of a latent distribution from one observation? A simple maximum entropy estimator is proposed to describe the distribution of a rating observed. The estimator can express the implications of zero, one, a few blind replicates, and many observations. Several tests of the estimator show that results are consistent with the results of experiments with blind replicates and that results are more accurate than results based on observed ratings alone.
Keywords: entropy; judge; random; ratings; statistics; wine
AAWE
Economics Department
New York University
19 W. 4th Street, 6FL
New York, NY 10012, U.S.A.
Tel: (212) 992-8083
Fax: (212) 995-4186
E-Mail: karl.storchmann@nyu.edu