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Some Statistical Modeling Problems in the Advertising Industry: A Look at Media Exposure Distributions

 

作者: PeterJ. Danaher,  

 

期刊: The American Statistician  （Taylor Available online 1992）
卷期: Volume 46, issue 4  

页码: 254-260

 

ISSN:0003-1305

 

年代: 1992

 

DOI:10.1080/00031305.1992.10475899

 

出版商: Taylor & Francis Group

 

关键词: Beta-binomial;Canonical expansion;Dirichlet-multinomial;Duplication of viewing law;Log-linear model

 

数据来源: Taylor

 

摘要:

Advertisers have been estimating the potential audience for their advertising campaigns for over 30 years, with varying degrees of success. When abstracted into random variables, their modeling problems become rather tantalizing for statisticians due to awkward inter- and intramedia correlations. The purpose of this article is to introduce more statisticians to fertile areas of research in the advertising industry.

 

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