Skip to content
Have an account?
Login
or
Register
  • About
    • People
    • Fellows
    • Tastings
    • In the News
    • Awards
      • Christophe Baron Prize
      • AAWE Scholarships
      • AAWE Awards of Merits
    • Downloads
    • Contacts & Copyright
  • Journal
    • Online Journal Member Access
    • Online Journal Library Access
    • Editors
    • JWE – All Issues
    • Submission Guidelines
  • Working Papers
  • Meetings
    • 2023 Stellenbosch
    • 2022 Tbilisi
    • 2019 Vienna
    • 2018 Ithaca
    • 2017 Padua
    • 2016 Bordeaux
    • 2015 Mendoza
    • 2014 Walla Walla
    • 2013 Stellenbosch
    • 2012 Princeton
    • 2011 Bolzano
    • 2010 Davis
    • 2009 Reims
    • 2008 Portland
    • 2007 Trier
  • Membership
Menu
  • About
    • People
    • Fellows
    • Tastings
    • In the News
    • Awards
      • Christophe Baron Prize
      • AAWE Scholarships
      • AAWE Awards of Merits
    • Downloads
    • Contacts & Copyright
  • Journal
    • Online Journal Member Access
    • Online Journal Library Access
    • Editors
    • JWE – All Issues
    • Submission Guidelines
  • Working Papers
  • Meetings
    • 2023 Stellenbosch
    • 2022 Tbilisi
    • 2019 Vienna
    • 2018 Ithaca
    • 2017 Padua
    • 2016 Bordeaux
    • 2015 Mendoza
    • 2014 Walla Walla
    • 2013 Stellenbosch
    • 2012 Princeton
    • 2011 Bolzano
    • 2010 Davis
    • 2009 Reims
    • 2008 Portland
    • 2007 Trier
  • Membership
DONATE
  • Data
  • Jobs & Programs
  • Data
  • Jobs & Programs
Home
»
JWE-Articles
»
Journal of Wine Economics Volume 1 | 2006 | No. 1
»
Measurement and Inference in Wine Tasting

Measurement and Inference in Wine Tasting

Richard E. Quandt
Pages: 7-30
Abstract

The paper has three basic objectives: (1) to discuss and analyze the subtleties of ranking wines in blind tastings, (2) to analyze the degree of agreement or disagreement among the tasters (judges) and (3) to shed some light on the problem of identifying the wines and to determine when the identifications of the judges might be called statistically significant. The first issue utilizes the rank sums or the related measure, “votes against,” and discusses the appropriateness of a statistical test introduced by Kramer. The second introduces Kendall’s W coefficient of concordance and discusses some other, related measures. The third derives the finite sample distribution of the number of correct identifications under the null hypothesis of random identifications, from which critical values can be obtained, both for the case in which each wine has to be identified exactly and the case in which there is a small number of different types of wine that have to be identified.

Subscribe to our Email List

You can cancel your subscription at any time.
SUBSCRIBE HERE

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

AAWE

Journal

Working Papers as a List

Membership

Videos

LINKS

Fifthsense

JWE at Cambridge University Press

Liquid Assets

Stuart Pigott

Privacy & Cookies Policy

Privacy Policy

Cookies Policy

Twitter Facebook-f Youtube

© AAWE 2021 - All rights reserved