𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Direct marketing modeling with CART and CHAID

✍ Scribed by Domlnlque Haughton; Samer Oulabi


Publisher
John Wiley and Sons
Year
1993
Weight
924 KB
Volume
7
Category
Article
ISSN
0892-0591

No coin nor oath required. For personal study only.

✦ Synopsis


from M.1.T in mathematics in 1984. in the area of model selection in mathematical statistics She is an associate professor of mathematical sciences at Bentley College. and a statistical consultant with the Analytic Consulting Group at Epsilon. Her main research interests are on information criteria for model selection. classification problems, and statlsti- cat modeling for direct marketing. SAMER OULABI received his BS in Engineering in 1985 and his MBA with a minor in statistics in 1987 from the University of Houston. He is a Quantitative Methods Consultant with the Analytic Consulting Group at Epsilon. His interests are in strategic marketing, and applying new techniques to marketing modeling problems.


πŸ“œ SIMILAR VOLUMES


Ridge regression and direct marketing sc
✍ Edward C. Malthouse πŸ“‚ Article πŸ“… 1999 πŸ› John Wiley and Sons 🌐 English βš– 262 KB πŸ‘ 2 views

The objective of a direct marketing scoring model is to pick a specified number of people to receive a particular offer so that the response to the mailing is maximized. This paper shows how ridge regression can be used to improve the performance of direct marketing scoring models. It reviews the ke

International direct marketing strategy:
✍ C. David Light; T.N. Somasundaram πŸ“‚ Article πŸ“… 1994 πŸ› John Wiley and Sons βš– 570 KB

Direct marketing is the fastest growing advertising medium in the United States and it is growing almost as fast in many other countries. With international growth, the role of direct mail in the media mix warrants investigation. Should a uniform media strategy be employed? In this context. percepti

Modeling category-level purchase timing
✍ Dennis Fok; Richard Paap πŸ“‚ Article πŸ“… 2009 πŸ› John Wiley and Sons 🌐 English βš– 175 KB

## Abstract Purchase timing of households is usually modeled at the category level. However, many potential explanatory variables are observed at the brand level. To explain interpurchase times one has to either construct category‐level measures of marketing efforts, or integrate the model with a m