An extension of correspondence analysis based on the multiple Taguchi’s index to evaluate the relationships between three categorical variables graphically: an application to the Italian football championship-Reference-Cited by-同舟云学术

An extension of correspondence analysis based on the multiple Taguchi’s index to evaluate the relationships between three categorical variables graphically: an application to the Italian football championship

Published:2022-06-16 Issue: Volume: Page:
ISSN:0254-5330
Container-title:Annals of Operations Research
language:en
Short-container-title:Ann Oper Res

Author:

D’Ambra Antonello^ORCID,Amenta Pietro^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Management Science and Operations Research,General Decision Sciences

Link

https://link.springer.com/content/pdf/10.1007/s10479-022-04803-3.pdf

Reference70 articles.

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2. Agresti, A. (2002). Categorical data analysis (2nd ed.). Hoboken: John Wiley & Sons Inc.

3. Agresti, A. (2007). An introduction to categorical data analysis. New York: John Wiley & Sons.

4. Agresti, A. (2010). Analysis of ordinal categorical data (2nd ed.). Hoboken: John Wiley & Sons.

5. Agresti, A., Chuang, C., & Kezouh, A. (1987). Order-restricted score parameters in association models for contingency tables. Journal of American Statistical Association, 82, 619–623.

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