MISSION:
The Statistical Consulting Laboratory (SCL) offers statistical consulting to faculty, staff, graduate and undergraduate students conducting research at WPI and outside clients. The SCL is a group of statisticians who provide consultation on all aspects of Statistical needs. Consulting services will be provided free to WPI students, faculty and staff and external projects are formulated through a process used by WPI for over 20 years (See the Sponsors page for more information).
Examples of Previous Projects:
| Project: Early Stress Activation via Methyl Jasmonate and Loblolly Pine Somatic Embryo Yield Collaboration: Collaborative work with Department of Chemical Engineering (UMASS Amherst), Department of Chemical Engineering and Department of Chemistry, WPI |
| Project: Quantitative and Rapid Elemental Analysis for Forensic Sourcing of Ordinary Portland Cement Collaboration: Collaborative work with Department of Civil and Environmental Engineering and Department of Chemistry & Biochemistry, WPI |
| Project: Developing quantitative MRI parameters to characterize host response and tissue ingrowth into collagen scaffolds Collaboration: Collaborative work with Department of Radiology (UMASS Medical), Department of Biomedical Engineering, and Department of Chemistry & Biochemistry, WPI |
| Project: Projecting Key Statistics for Fantasy Football Sponsor: Advanced Sports Logic |
| Project: Robustifying Logistic Regression: An Application to Obesity Sponsor: National Center for Health |
| Project: Demographic Assumptions Sponsor: Hewitt Associates |
| Project: Statistically Sound Experiments to Improve Production Quality for Electronic Components Sponsor: Bose Incorporated |
| Project: Robust Statistical Sampling to Improve the Effectiveness and Reliability of On-Line Manufacturing Sponsor: Tambrands Incorporated |
| Project: Statistical Consulting Sponsor: Bose Incorporated |
| Project: Statistical and Experimental Analysis of a Torque Model for Self-tapping Screws Sponsor: Bose Incorporated |
| Project: Statistical Multi-Source Predictive Models and Error Estimates: Major USDA Crop Protection Forecasts and Estimates Sponsor: National Institute for Statistical Sciences and National Agricultural Statistics Service |