Household-Specific Regressions Using Clickstream Data
Goldfarb, Avi ; Lu, Qiang
Statist. Sci., Tome 21 (2006) no. 1, p. 247-255 / Harvested from Project Euclid
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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.
Publié le : 2006-05-14
Classification:  Internet portals,  clickstream data,  online behavior 
@article{1154979825,
     author = {Goldfarb, Avi and Lu, Qiang},
     title = {Household-Specific Regressions Using Clickstream Data},
     journal = {Statist. Sci.},
     volume = {21},
     number = {1},
     year = {2006},
     pages = { 247-255},
     language = {en},
     url = {http://dml.mathdoc.fr/item/1154979825}
}

Goldfarb, Avi; Lu, Qiang. Household-Specific Regressions Using Clickstream Data. Statist. Sci., Tome 21 (2006) no. 1, pp.  247-255. http://gdmltest.u-ga.fr/item/1154979825/