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Application of multivariate statistical methods in the process positioning of product categories

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  • Zhupikov, D.

Abstract

The article is devoted to the application of multivariate classification methods to solve practical problems of the positioning of product categories. In particular, in the categories of «Tea» shows how to break the category into position, formed on the basis of shopping habits and preferences. To perform this task used discriminant analysis, which aims to partition a set of objects into homo-geneous groups. The study managed to make an assortment of categories «Tea» optimal.

Suggested Citation

  • Zhupikov, D., 2012. "Application of multivariate statistical methods in the process positioning of product categories," Journal of Modern Competition, Synergy University, issue 5, pages 69-74.
    • Handle: RePEc:snr:mdrcmp:y:2012:i:5:p:69-74
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    File URL: https://www.moderncompetition.ru/jour/article/view/494
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