SOME STATISTICAL MODELING PROBLEMS IN THE ADVERTISING INDUSTRY - A LOOK AT MEDIA EXPOSURE DISTRIBUTIONS

被引：10

作者：

DANAHER, PJ

机构：

来源：

AMERICAN STATISTICIAN | 1992年 / 46卷 / 04期

关键词：

BETA-BINOMIAL; CANONICAL EXPANSION; DIRICHLET-MULTINOMIAL; DUPLICATION OF VIEWING LAW; LOG-LINEAR MODEL;

D O I：

10.2307/2685307

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

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.

引用

页码：254 / 260

页数：7

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