A classification model for a two-class (New product purchase) discrimination process using multiple-criteria linear programming
Document Type
Syllabus
Publication Date
1-1-2007
Abstract
This chapter reports results of a numerical simulation for a new financial product service. The example has two explanatory variables — income and savings — and it classifies purchasers and non-purchasers of the new financial product service. The example compares weighted linear programming (WLP), logistic regression, and discriminant analysis (Mahalanobis method).
Identifier
85056028504 (Scopus)
ISBN
[9780849385223, 9781420013733]
Publication Title
Data Mining Methods and Applications
External Full Text Location
https://doi.org/10.1201/b15783
First Page
295
Last Page
304
Recommended Citation
Lawrence, Kenneth D.; Pai, Dinesh R.; Klimberg, Ronald K.; Kudyba, Stephan; and Lawrence, Sheila M., "A classification model for a two-class (New product purchase) discrimination process using multiple-criteria linear programming" (2007). Faculty Publications. 13701.
https://digitalcommons.njit.edu/fac_pubs/13701
