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Sarah J. Thomas
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Statistics
An Application of Model-based Clustering in Market Segmentation
(m31865)
Authors:
Sean Zeng
,
Sarah J. Thomas
Keywords:
Consumer purchase data
,
Model-based Clustering
,
Poisson Regression
Summary:
This report summarizes work done as part of a Computational Finance PFUG under Rice University's VIGRE program. VIGRE is a program of Vertically Integrated Grants for Research and Education in the Mathematical Sciences under the direction of the National Science Foundation. A PFUG is a group of Postdocs, Faculty ... and eggs.
[Expand Summary]
This report summarizes work done as part of a Computational Finance PFUG under Rice University's VIGRE program. VIGRE is a program of Vertically Integrated Grants for Research and Education in the Mathematical Sciences under the direction of the National Science Foundation. A PFUG is a group of Postdocs, Faculty, Undergraduates and Graduate students formed around the study of a common problem. In this module we present a model-based clustering scheme for market research. We use observation-driven Poisson regression to model purchase patterns of customers over time. Based on those models, customers are segmented into groups. We illustrate the methods on purchases of two related grocery products: bacon and eggs.
[Collapse Summary]
Subject:
Mathematics and Statistics
Language:
English
Popularity:
58.66%
Revised:
2009-09-09
Revisions:
3
Popularity is measured as percentile rank of page views/day over all time
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