Statistical Engineering
Definition: Statistical Engineering is the collaborative study and application of the tactical links between statistical thinking and statistical and discipline-specific tools with the objective of guiding better understanding of uncertainty in knowledge and decision-making to generate improved results to benefit the organization and/or society.
The ASQ Statistics Division is committed to promoting the concepts and methods of Statistical Engineering. For those who wish to become better acquainted with the ideas, please see the list of materials below:
Webinar:
- Statistical Engineering (MP4), by Roger Hoerl and Ron Snee, March 2011.
- Statistical Engineering (PDF), by Roger Hoerl and Ron Snee, March 2011.
Papers:
(Membership or subscription may be required to access)
- Closing the Gap, by Roger Hoerl and Ron Snee, Quality Progress, May 2010.
- Tried and True, by Roger Hoerl and Ron Snee, Quality Progress, June 2010.
- Further Explanation, by Roger Hoerl and Ron Snee, Quality Progress, December 2010.
- Proper Blending, by Roger Hoerl and Ron Snee, Quality Progress, June 2011.
- Taking Stock, by Christine Anderson-Cook, Quality Progress, September 2011.
- Moving the Statistics Profession Forward, by Roger Hoerl and Ron Snee, The American Statistician, February 2010.
- Statistical Thinking and Methods in Quality Improvement: A Look to the Future by Roger Hoerl and Ronald Snee, Quality Engineering, June 2010
- Desired and Feared - What Do We Do Now and Over the Next 50 Years?, by Xiao-Li Meng, The American Statistician, August 2009.
- Engineering an Advantage, by Roger Hoerl and Ron Snee, Six Sigma Forum Magazine, February 2011.
- Speak their Language, by Christine Anderson-Cook, Six Sigma Forum Magazine, August 2011.
- Statistical Engineering: Is it Just Another Word for Applied Statistics?, by Roger Hoerl and Ron Snee, Joint Newsletter for the Section on Physical and Engineering Sciences and the Quality and Productivity Section of the American Statistical Association, April 2011. (Article begins on page 4)
- Post-financial meltdown: What do the services industries need from us now? by Roger Hoerl and Ron Snee, Applied Stochastic Models in Business and Industry, September, 2009
Other websites:
- http://engineering.larc.nasa.gov/2011_NASA_Statistical_Engineering_Symposium.html May 2011 NASA Statistical Engineering Symposium
