Abstract
Contingency tables contain information about the joint distribution of statistical variables. For a large number of classes (for each variable) the resulting n × p frequency matrix can be hard to interpret. Correspondence analysis is a tool for developing simple indices that show us relations between row and column categories.
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References
Härdle, W., & Simar, L. (2015). Applied multivariate statistical analysis (4th ed.). Berlin: Springer.
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Härdle, W.K., Hlávka, Z. (2015). Correspondence Analysis. In: Multivariate Statistics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36005-3_15
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DOI: https://doi.org/10.1007/978-3-642-36005-3_15
Publisher Name: Springer, Berlin, Heidelberg
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