Customer-base analysis using repeated cross-sectional summary (RCSS) data-Reference-Cited by-同舟云学术

Customer-base analysis using repeated cross-sectional summary (RCSS) data

Published:2016-02 Issue:1 Volume:249 Page:340-350
ISSN:0377-2217
Container-title:European Journal of Operational Research
language:en
Short-container-title:European Journal of Operational Research

Author:

Jerath Kinshuk^ORCID,Fader Peter S.,Hardie Bruce G.S.

Publisher

Elsevier BV

Subject

Information Systems and Management,Management Science and Operations Research,Modeling and Simulation,General Computer Science,Industrial and Manufacturing Engineering

Reference50 articles.

1. “Counting your customers” one by one: a hierarchical Bayes extension to the Pareto/NBD model;Abe;Marketing Science,2009

2. Optimal grouping of income distribution data;Aghelvi;Journal of the American Statistical Association,1981

3. How to tap IT’s hidden potential;Basu;The Wall Street Journal,2008

4. Empirical validation and comparison of models for customer base analysis;Batislam;International Journal of Research in Marketing,2007

5. High performance analytics with in-database processing;Brobst,2009

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