Center for Business and Industrial Studies
Statistical Models for Forecasting and Planning
- Development of statistical models for risk analysis and forecasting credit losses on loan and leasing portfolios. These models have been used by major financial institutions, in the U.S. and abroad, to assess credit risk associated with loans and leases in different market segments, and to help in the determination of appropriate reserves against credit losses.
- Development of statistical procedures to identify new adopters of advanced services for a major telecommunications company. The resulting statistical models were used in planning deployment of new digital switches to increase capacity at telephone line centers throughout the company's five state service area. They were also used to individualize responses to customer telephone inquiries based on geo-demographic data and account activity (effectively identifying individual customers who were most likely to purchase high-revenue but discretionary services).
- Development of a generalized manpower planning system for the Missouri State Highway Patrol. Analytical models were created for determining staffing requirements in a wide variety of business situations, while considering tradeoffs among personnel, equipment, and achievable service levels.