Statistical Consulting Laboratory


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
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