|
Our Services
The experience and technical skill of the Faculty of the Statistics Department
at Case offer statistical solutions for application in industrial settings,
for quality improvement programs, for research and development projects
and for multidisciplinary collaborations with applied sciences and engineering
through the Case Statistical Consulting Center.
Both large, long-term and shorter-term consultation and statistical services
draw on the broad expertise of the faculty to address the specific needs
of each client. Our services include:
- Data interpretation
- Design of experiments
- Robust design
- Statistical quality control
- Statistical analyses in engineering and sciences
- Statistical analyses in medicine and law applications
- Quality improvement programs
- Specialized surveys
- Simulation and modeling
- Workshops on statistical methodology
- Training in statistics for process control
- Development of training materials in statistics
The resources of Case Statistical Consulting Center include expertise
in modern statistical methodology and statistical software, supported
by a sophisticated computer network. Consultants and staff extend and
adapt statistical methodology or create new methodology to meet each client's
needs and implementation timetable. Quality improvement programs can be
designed from the overview of a comprehensive process improvement strategy
through modern approaches to control chart methods and new techniques
in robust design.
Harold Haller
Director, Statistical Consulting Center
Consulting Faculty
Patti Williamson
Ph.D., Bowling Green State University
Joe Sedransk
Ph.D., Harvard University
Jiayang Sun
Ph.D., Stanford University
Wojbor Woyczynski
Ph.D., Wroclaw University
Technical Support
Computing facilities are under the management
of the computing network administrator. Additional support
staff are drawn from advanced Ph.D. students in Statistics at Case.
Selected Past Consulting
- Environmental science
- Environmental lead contamination assessment
- Sampling for natural resource monitoring
- Physical science
- Modeling thin film surface chemistry and physics
- Engineering
- Robust design
- Statistics for design process engineering
- Design of experiments for minimal test material
|
 |
- Virtual prototyping
- Bayesian prediction of properties for new materials
- Social science
- Evaluating gender bias in personnel decisions
- Business
- Inventory estimation
- Public policy
- Applying survey results to estimate for small areas
|
Contact Us
Contact us for standard consulting via the Statistical Consulting Center:
|
