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- aggregation classification "C1".
- aggregation creator person.
- aggregation creator person.
- aggregation creator person.
- aggregation date "2011".
- aggregation format "application/pdf".
- aggregation hasFormat 2032299.bibtex.
- aggregation hasFormat 2032299.csv.
- aggregation hasFormat 2032299.dc.
- aggregation hasFormat 2032299.didl.
- aggregation hasFormat 2032299.doc.
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- aggregation hasFormat 2032299.txt.
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- aggregation hasFormat 2032299.yaml.
- aggregation isPartOf urn:isbn:9781467300056.
- aggregation language "eng".
- aggregation publisher "IEEE Computer Society".
- aggregation rights "I have transferred the copyright for this publication to the publisher".
- aggregation subject "Business and Economics".
- aggregation title "RFM variables revisited using quantile regression".
- aggregation abstract "We revisit well-known variables for database marketing/CRM and relationship marketing using a new methodology: Binary Bayesian Quantile regression. This method allows for a more thorough investigation of the relationship between the response variable and the covariates. The main conclusion is that taking intentions as a proxy for real churn behavior yields biased results because the effects are differentially inflated across quantiles. Moreover, effects are shown to differ relative to the median effect resulting in even more inaccurate information for marketing decision making. This study clearly demonstrates that marketing practitioners can benefit from using quantile regression and shows the importance of obtaining and analyzing real observed behavior.".
- aggregation authorList BK238354.
- aggregation endPage "1169".
- aggregation startPage "1163".
- aggregation aggregates 2033244.
- aggregation isDescribedBy 2032299.
- aggregation similarTo ICDMW.2011.148.
- aggregation similarTo LU-2032299.