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

D. Zhupikov ()

Journal of Modern Competition, 2012, issue 5, 69-74

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.

Keywords: segmentation; discriminant analysis; Mahalanobis metric (search for similar items in EconPapers)
Date: 2012
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.moderncompetition.ru/jour/article/view/494 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:snr:mdrcmp:y:2012:i:5:p:69-74

Ordering information: This journal article can be ordered from
https://moderncompetition.ru

Access Statistics for this article

Journal of Modern Competition is currently edited by Yury Rubin

More articles in Journal of Modern Competition from Synergy University
Bibliographic data for series maintained by Synergy University Maintainer ().