| 1. Pharma market share, using sales force characteristics. |
| 2. Direct Mail. Demographics to predict spend, given spend > 0. |
| 3. Human Resources, demographics to explain compensation. |
| 4. Credit cards, forecasting late fees after 9/11. |
| 5. Optimal product mix for wood panel bending strength. |
| 6. Credit cards, predicting utilization rate -- found that typical risk profiling not useful for explaining utilization rate. |
| 7. Relating heavy fuel oil prices to other fuels, as there is no US based fuel oil futures contract. Goal to create a hedge with a commodity basket. (good example of collinearity) |
| 8. Factors driving Bounty sales volumes, and differences across retail channels. Outstanding value project. |
| 9. Campbell soup: unusually good financial results -- real or a 9/11 artifact? Quotes from WSJ add interest to this project. |
| 10. Model for PEPCO transformer failure, and cost of repair. |
| 11. Model for the density of polymers as a function of structure, mechanism and oil content. Creates a model that is competitive with plant based measurements. |
| 12. Modern consumption function theories, quantifying short and long term elasticities of consumption with respect to income. Shows that the consumer holds up under times of temporary economic hardship. |
| 13. Subscriber growth modeling in the cell phone industry, looking at international regional and technology differences. |
| 14. Modeling GDP and GDP growth for Asia Pacific countries. |
| 15. Managing basis risk in Canadian Financial markets -- explaining the spread between the Prime rate and 30-day CDOR. |
| 16. Modeling the efficiency of Amex Financial Advisors product marketing process. |
| 17. Employee compensation at a large financial institution. |
| 18. An analysis of People Value Added (PVA) based on employees job satisfaction and perceptions of Customer Focus, Operating Efficiency and Management/Leadership. |
| 19. Understanding the combination of scientific and marketing inputs that explain physician repeat ratios in 6 blockbuster drugs. |
| 20. Explaining the solubility of chemical compounds as a function of chemical structure -- solubility being important for potential drug candidates. |
| 21. Understanding the reasons for "Missed Orders" at AT&T's service centers as a function of personnel mix. |
| 22. Explaining response rates to direct mail credit card solicitations as a function of recent macro-economic factors -- personal savings, unemployment ... |
| 23. Explaining stock market returns in terms of trading characteristics and financial ratios. |