45 research outputs found
Using clustering of rankings to explain brand preferences with personality and socio-demographic variables
The primary aim of market segmentation is to identify relevant groups of consumers that can be addressed efficiently by marketing or advertising campaigns. This paper addresses the issue whether consumer groups can be identified from background variables that are not brand-related, and how much personality vs. socio-demographic variables contribute to the identification of consumer clusters. This is done by clustering aggregated preferences for 25 brands across 5 different product categories, and by relating socio-demographic and personality variables to the clusters using logistic regression and random forests over a range of different numbers of clusters. Results indicate that some personality variables contribute significantly to the identification of consumer groups in one sample. However, these results were not replicated on a second sample that was more heterogeneous in terms of socio-demographic characteristics and not representative of the brands target audience
Tendenza alla massima ed alla minima concentrazione nel modello di distribuzione del reddito personale di Dagum
Sul comportamento asintotico della statistica V2 nel caso di ipotesi composita: uno studio empirico su modelli con parametri stimati con il metodo della massima verosimiglianza da dati individuali
Approssimazione della distribuzione della statistica V2 con la distribuzione Chi-Quadrato
Un'osservazione concernente il calcolo della distanza euclidea per variabili trasformate in componenti principali
In tema di relazioni e discordanze fra indici di variabilità e di concentrazione
1nonenoneDANCELLI L.Dancelli, Livi