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Analyses of Wine-Tasting Data: A Tutorial*

Published online by Cambridge University Press:  04 November 2014

Ingram Olkin ,
Ying Lou ,
Lynne Stokes  and
Jing Cao
Ingram Olkin
Affiliation:
Ingram Olkin is Professor Emeritus, Department of Statistics, Stanford University; e-mail: olkin@stanford.edu.
Ying Lou
Affiliation:
Ying Lou is Manager Statistician, Lilly Suzhou Pharmaceutical Co, Shanghai Branch; e-mail: lou_ying@lilly.com.
Lynne Stokes
Affiliation:
Lynne Stokes is Professor, Department of Statistical Science, Southern Methodist University; e-mail: slstokes@smu.edu.
Jing Cao
Affiliation:
Jing Cao is Associate Professor, Department of Statistical Science, Southern Methodist University; e-mail: jcao@smu.edu.
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Abstract

The purpose of this paper is to provide a tutorial of data analysis methods for answering questions that arise in analyzing data from wine-tasting events: (i) measuring agreement of two judges and its extension to m judges; (ii) making comparisons of judges across years; (iii) comparing two wines; (iv) designing tasting procedures to reduce burden of multiple tastings; (v) ranking of judges; and (vi) assessing causes of disagreement. In each case we describe one or more analyses and make recommendations on the conditions of use for each. (JEL Classifications: C10, C12, C13, C59, C90)

Keywords

correlationdesign of experimentsjudge agreementmeasures of concordancemeta-analysismultiple judges
Type
Articles
Information
Journal of Wine Economics , Volume 10 , Issue 1 , May 2015 , pp. 4 - 30
Copyright
Copyright © American Association of Wine Economists 2014 

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Footnotes

*

The authors wish to thank the editor Karl Storchmann and the reviewer for their comments and suggestions. Jing Cao was partially supported by NSF grant IIS-1302564.

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