A classification model for a two-class (New product purchase) discrimination process using multiple-criteria linear programming

Kenneth D. Lawrence; Dinesh R. Pai; Ronald K. Klimberg; Stephan Kudyba; Sheila M. Lawrence

doi:10.1201/b15783

A classification model for a two-class (New product purchase) discrimination process using multiple-criteria linear programming

Kenneth D. Lawrence, Dinesh R. Pai, Ronald K. Klimberg, Stephan Kudyba, Sheila M. Lawrence

MT School of Management

Research output: Chapter in Book/Report/Conference proceeding › Chapter

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).

Original language	English (US)
Title of host publication	Data Mining Methods and Applications
Publisher	CRC Press
Pages	295-304
Number of pages	10
ISBN (Electronic)	9781420013733
ISBN (Print)	9780849385223
DOIs	https://doi.org/10.1201/b15783
State	Published - Jan 1 2007

All Science Journal Classification (ASJC) codes

General Computer Science
General Economics, Econometrics and Finance
General Business, Management and Accounting

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10.1201/b15783

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A classification model for a two-class (New product purchase) discrimination process using multiple-criteria linear programming

Abstract

All Science Journal Classification (ASJC) codes

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