The experience and technical skill of the Faculty of the Statistics Department
at CWRU 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 CWRU Statistical Conslting 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 CWRU Statistical Conslting 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.
Computing facilities are under the management
of the computing network administrator, Brian Ferguson. Additional support
staff are drawn from advanced Ph.D. students in Statistics at CWRU.
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:
