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A mixture model for Internet search-engine visits

delete2004-05-01
delete34
PRE
AI
R
Rahul Telang
P
Peter Boatwright
T
Tridas Mukhopadhyay
DOI:10.1509/jmkr.41.2.206.28672delete
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摘要

摘要

En 中文
The authors extend the marketing literature on stochastic interpurchase-time models by allowing for purchase periodicities and unobserved heterogeneity in a proportional hazards mixture model. Their parsimonious framework builds on commonly used baseline hazard functions. They use the search-engine visits data to highlight the benefits of the proposed model.
Keyword:
HAZARD FUNCTION
DURATION DATA
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期刊

J
Journal of Marketing Research
IF:
5
论文数:
2.6K
被引数:
2.9W

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