APPLICATION OF MULTIVARIATE STATISTICAL METHODS IN THE PROCESS POSITIONING OF PRODUCT CATEGORIES
EDN: PUUYPZ
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.
References
1. ДубровА.М.,МхитарянВ.С.,ГрошинЛ.И.Мно-гомерные статистические методы. М.: Финансы и статистика, 2003.
2. Мудров А. Н. Основы рекламы: учебник / 2-е изд., перераб. и доп. - М.: Магистр, 2008. - 397 с.
3. ПаршинА.А.Методы и принципы сегментного анализа в маркетинге // Портал «Энциклопедия маркетинга». URL: http://www.marketing.spb.ru/.
Review
For citations:
Zhupikov D. APPLICATION OF MULTIVARIATE STATISTICAL METHODS IN THE PROCESS POSITIONING OF PRODUCT CATEGORIES. Journal of Modern Competition. 2012;(5):69-74. EDN: PUUYPZ
Email this article 