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arxiv: math/0609226 · v1 · submitted 2006-09-08 · 🧮 math.ST · stat.TH

Household-Specific Regressions Using Clickstream Data

classification 🧮 math.ST stat.TH
keywords dataunderstandingallowbehaviorbetterbrandchoiceclickstream
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This paper makes three contributions: (1) the paper provides a better understanding of online behavior by showing the main drivers of Internet portal choice, (2) the rich data allow for a deeper understanding of brand substitution patterns than previously possible and (3) the paper introduces a wider statistics community to a new data opportunity and a recently developed method.

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