Statistics Department

CWRU Statistical Consulting

Phone: (216) 368-6941
Fax: (216) 368-0252

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 CWRU STATISTICAL CONSULTING.


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. Services available 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 CONSULTING 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.







CONSULTING FACULTY

Nidhan Choudhuri
PhD, Michigan State University


Joe Sedransk
PhD, Harvard University


Nell Sedransk
PhD, Iowa State University


Jiayang Sun
PhD, Stanford University


Wojbor Woyczynski
PhD, Wroclaw University




TECHNICAL SUPPORT

Computing facilities are under the management of the computing network administrator, Brian Ferguson. Additional support staff are drawn from advanced PhD 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

Email Contact

consult@laplace.cwru.edu   -- for standard consulting via the consulting center

 
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