Activity Number:
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194
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Type:
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Invited
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Date/Time:
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Tuesday, August 13, 2002 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistics and Marketing
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Abstract - #300298 |
Title:
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A Multivariate Negative Binomial Distribution Model for Internet Reach and Frequency Estimation
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Author(s):
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Peter Danaher*+
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Affiliation(s):
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University of Auckland
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Address:
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Private Bag, 92019, Auckland, , 92019, New Zealand
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Keywords:
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advertising ; NBD ; internet ; Sarmanov
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Abstract:
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A multivariate media exposure model is developed for estimating exposure to an internet advertising campaign. Rather than adapting models previously used in traditional media, a new model is derived that is tailored to the internet environment. This new model is a multivariate generalization of the negative binomial distribution. For very large internet advertising schedules a simple approximation to the multivariate model is also derived. In a test of over 1000 internet advertising schedules, the two new models are compared with models previously used for internet advertising and are shown to be significantly more accurate.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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