 Professor
of Marketing and Statistics- Department of Marketing
- Ph.D., Purdue University, 1987
Summary of research interests
Dr. Fong's research interests include Bayesian statistics,
marketing research, forecasting and supply chain management.
He is currently working on several projects, which include
the development of new methodologies to perform conjoint
analysis, the investigation of dynamic evolution of
consumer preferences, the study of regime changes with
an application to multiple regression analysis, among
others.
Representative publications
Dr. Fong's research has been published in various journals,
including the Journal of the American Statistical
Association, Journal of Business and Economic
Statistics, Journal of Econometrics, Marketing
Science, Technometrics, Psychometrika,
Journal of Statistical Planning and Inference,
Naval Research Logistics, the European Journal
of Operational Research, Communications in Statistics,
Journal of Statistical Computation and Simulation,
The American Statistician, Journal of the
Operational Research Society, The Canadian Journal
of Statistics, Statistics and Decisions,
Experimental Economics, Computers and Operations
Research, Quality Management Journal and
International Journal of Production Economics.
Some selected publications are:
D. K. H. Fong, S. E. Pammer, S. F. Arnold and G. E.
Bolton. 2002. Re-analyzing ultimatum bargaining: comparing
non-decreasing curves without shape constraints. Journal
of Business and Economic Statistics 20: 423-430.
S. D. Beattie, D. K. H. Fong, and D. K.J. Lin. 2002.
A two-stage bayesian model selection strategy for supersaturated
designs. Technometrics 44: 55-63.
S. E. Pammer, D. K. H. Fong, and S. F. Arnold. 2000.
Forecasting the penetration of a new product -- a Bayesian
approach. Journal of Business and Economic Statistics
18: 428-435.
D. K. H. Fong and G. E. Bolton. 1997. Analyzing ultimatum
bargaining: a Bayesian approach to the comparison of
two potency curves under shape constraints. Journal
of Business and Economic Statistics 15: 335-344.
D. K. H. Fong and J. O. Berger. 1993. Ranking, estimation
and hypothesis testing in unbalanced two-way additive
models - a Bayesian approach. Statistics and Decisions
11:1-24.
D. K. H. Fong 1992. Ranking and estimation of related
means in the presence of a covariate - A Bayesian approach.
JASA 87: 1128-1136.
Student supervision
Ph.D. theses
Paul Mosquin (Ph.D. in Statistics, 2001), "The
Analysis of Bayesian Finite Mixture Models and Discrete
Choice Models" (co-advised with Dr. S. F. Arnold;
Dr. Mosquin's first job: research statistician at the
Research Triangle Institute)
Scott Beattie (Ph.D. in Statistics, 1999), "Contributions
to the Design and Analysis of Experiments: Computer
Experiments and Supersaturated Designs" (co-advised
with Dr. D. K. J. Lin; Dr. Beattie's first job: senior
statistician at Eli Lilly)
Haizhen Fu (Ph.D. in Management Science, 1998), "Exploring
Component Commonality Issues in a Supply Chain" (Dr.
Fu's first job: application engineer at i2 Technologies)
Scott Pammer (Ph.D. in Statistics, 1995), "Nonparametric
Bayesian Estimation and Comparison of Response Curves"
(co-advised with Dr. S. F. Arnold; Dr. Pammer's first
job: senior statistician at Minitab)
MS thesis
Ian M. Cohen (MS in Industrial Engineering, 1999),
"Optimal Process Control of Turning Applications: A
Bayesian Approach" (co-advised with Dr. M. Jeya Chandra)
Last updated: 28 April
2005 |
