Diskriminační analýza pro vícerozměrná binární data

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Title in English Discrimination with Multivariate Binary Data
Authors

FORBELSKÁ Marie ČERMÁKOVÁ Anna

Year of publication 2004
Type Article in Proceedings
Conference APLIMAT 2004
MU Faculty or unit

Faculty of Science

Citation
Field Applied statistics, operation research
Keywords discriminant analysis; multivariate binary data; kernel density estimation; product kernels; bandwidth choice
Description We often work, during marketing research, with indicators which have no continuous distribution. We have met with this situation in questionnaire examination whose aim was to find out which services guaranteed by trade discriminate customers of foodstuffs shops in České Budějovice on "permanent" and "occasional" customers of supermarkets. The studied indicators had binary distribution. Therefore we have used methods of discrimination for multivariate binary data. Those methods are rarely used in applications.
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