Modeling consumer acceptance probabilities

Expert Systems with Applications

Volumn 30, Issue 3, 2006, Pages 499-506

  Thomas, L C ^c   Jung, Ki Mun ^b   Thomas, Steve D ^a   Wu, Y ^a  

^a UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

^b Kyungsung University   (South Korea)

^c NONE

Author keywords

Accelerated life model; Acceptance probability; Coarse classifying; Linear programming; Logistic regression model; Student bank account

Indexed keywords

FORMAL LOGIC; LINEAR PROGRAMMING; PROBABILITY; REGRESSION ANALYSIS; STUDENTS;

ACCELERATED LIFE MODEL; ACCEPTANCE PROBABILITY; COARSE CLASSIFYING; LOGISTIC REGRESSION MODEL; STUDENT BANK ACCOUNT;

EXPERT SYSTEMS;

EID: 30944449240     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2005.10.011     Document Type: Article

References (19)

1. R.A. Fisher The use of multiple measurements in taxonomic problems Annals of Eugenics 7 1936 179 188
2. N. Freed, and F. Glover A linear programming approach to the discriminant problem Decision Sciences 12 1981 68 74
3. A.M. Geoffrion, and R. Krishnan E-business and management science: Mutual impacts Management Science 49 2003 1275 1286
4. D.J. Hand Discrimination and classification 1981 Wiley Chichester, UK
5. Jung, K. M., & Thomas, L. C. (2004). A note on coarse classifying in acceptance scorecards, Working paper M04-16, School of Management, University of Southampton.
6. P.K. Kannan, and H. Raghav Rao Decision support issues in customer relationship management and interactive marketing for e-commerce Decision Support Systems 32 2001 83 94
7. G.G. Karuga, A.M. Khraban, S.K. Nair, and D.O. Rice AdPalette: An algorithm for customizing online advertisements on the fly Decision Support Systems 32 2001 85 106
8. O.L. Mangasarian Linear and nonlinear separation of patterns by linear programming Operations Research 13 1965 444 452
9. A.L. Montgomery Applying quantitative marketing techniques to the Internet Interfaces 31 2001 90 108
10. B.P.S. Murthi, and S. Sarkar The role of the management sciences in research on personalization Management Science 49 2003 1344 1362
11. B. Narain Survival analysis and the credit granting decision L.C. Thomas J.N. Crook D.B. Edelman Readings in credit scoring 2004 Oxford University Press Oxford 235 245 (Reprinted)
12. T.S. Raghu, P.K. Kannan, H.R. Rao, and A.B. Whinstom Dynamic profiling of consumers for customized offerings over the Internet; a model and analysis Decision Support Systems 32 2001 117 134
13. E. Rosenberg, and A. Gleit Quantitative methods in credit management: A survey Operations Research 42 1999 589 613
14. P.E. Rossi, R.E. McCulloch, and G.M. Allenby The value of purchase history data in target marketing Marketing Science 15 1996 321 340
15. M. Stepanova, and L.C. Thomas Survival analysis method for personal loan data Operations Research 50 2002 277 289
16. L.C. Thomas A survey of credit and behavioural scoring: Forecasting financial risk of lending to consumers International Journal of Forecasting 16 2000 149 172
17. L.C. Thomas, J. Banasik, and J.N. Crook Not if but when loans default Journal of the Operational Research Society 50 1999 1185 1190
18. L.C. Thomas, D.B. Edelman, and J.N. Crook Credit scoring and its applications 2002 SIAM Philadelphia, PA
19. J.C. Wiginton A note on the comparison of logit and discriminant models of consumer credit behaviour Journal of Financial and Quantitative Analysis 15 1980 757 770