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Friday, November 09, 2018

Statistical Engineering Framework for Solving Large, Complex, Unstructured Problems

I got this late, I think you can still attend, I plan to ...

 ... On November 13, there will be a Chapter Meeting of the American Statistical Association Cincinnati Chapter (you do not need to be a member to attend!) at P&G's Mason Business Center (8700 Mason Montgomery Rd, Mason, OH 45040) from 2pm to 4 pm. There will be a talk given on Statistical Engineering by Allison Jones-Farmer (Van Andel Professor of Business Analytics & Professor, Farmer School of Business, Miami University) and William A. Brenneman (Research Fellow and Global Statistics Discipline Leader, Data and Modeling Sciences, Procter & Gamble Company). The abstract is provided below.

If you plan to attend, please send Jeremy Christman (christman.jc@pg.com) a note so that you can be added to the visitor list at P&G by Novenber 9.  (Send a note ASAP)

The Statistical Engineering Framework for Solving Large, Complex, Unstructured Problems:

More below the fold: 


Roger Hoerl and Ron Snee in their 2017 American Statistician paper, "Statistical Engineering: An Idea Whose Time Has Come?" argue that real problems faced by statisticians and other data professionals are often large, complex, and unstructured. Often these problems are not "textbook" in nature and require many different types of technical tools along with non-technical skills like leadership, communication and project management.   They argue that the discipline known as statistical engineering, which focuses on creative integration of multiple methods through a systematic framework of best approaches, is a viable approach for attacking such problems.  The skills to solve large unstructured problems in industry are critical to the success of many projects faced by practicing statisticians. Often these skills are learned on the job informally through observing experienced statisticians or semi-formal through mentoring and coaching. Statistical engineering provides a theory, framework and process to codify the experience of practicing statisticians and provides a mechanism for improving the process over time. The current state of the theory and practice of statistical engineering will be presented followed by a P&G case study. We will end the talk with ways to get involved in the Statistical Engineering movement. ... 

Thank you,  ... Jeremy Christman, Cincinnati ASA Chapter President

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