Statistical Analysis

The Statistical Analysis group was established more than 22 years ago to implement statistical approaches to solving research and development problems in the physical and engineering sciences. Statistical methodology plays a key role in experimental research. Statistics aid in the efficient design and analysis of experiments, in the improvement of technology and productivity, and in problem-solving and decision-making processes. The section staff has extensive experience in numerous areas of statistical design and related methodology. Statistical modeling, regression analysis, and experimental design are a few of the techniques used to aid in the statistical support of a variety of projects.

Dr. Robert L. Mason, Institute Analyst

Technical strengths in the section include:

  • Statistical design of experiments
  • Regression analysis and response surface modeling
  • Statistical data analysis and interpretation
  • Statistical methodology applications
  • Statistical process control
  • Reliability and failure analysis
  • Sampling plan development
  • Statistical training courses

For information on these technologies, please contact Dr. Robert L. Mason or Janet P. Buckingham.

Division Publications

Fuels and Lubricants Research Division
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March 25, 2013