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Opportunities to empower statisticians in emerging areas
Author(s) -
AndersonCook Christine M.
Publication year - 2014
Publication title -
applied stochastic models in business and industry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.413
H-Index - 40
eISSN - 1526-4025
pISSN - 1524-1904
DOI - 10.1002/asmb.2067
Subject(s) - computer science , set (abstract data type) , process (computing) , management science , data science , quality (philosophy) , resource (disambiguation) , data collection , data quality , subject (documents) , operations research , statistics , mathematics , engineering , service (business) , marketing , business , computer network , philosophy , epistemology , library science , programming language , operating system
Statistics has long played an important role in impacting the practices of business and industry. As data collection strategies become more automated and first‐principles scientific modeling with computer codes becomes more sophisticated, statistics has the opportunity to evolve and further contribute to the bottom line. Thinking about statistics as a set of tools to be applied piecemeal to a complex problem can be limiting. The emerging discussion about statistical engineering (as proposed by Roger Hoerl and Ronald Snee in Quality Progress , 2010) provides a framework for formalizing the role of statistics in a broader set of applications. Expanding how we think about data collection through resource allocation with multiple possible data types; combining data with first principles models of underlying science and engineering phenomena; and focusing on the multiple facets of the decision‐making process—all represent opportunities to expand the impact and influence of statistics. Statisticians have the opportunity to embrace these new opportunities to expand our sphere of influence and make broader contributions. Examples from collaborative efforts with subject matter experts at Los Alamos National Laboratory are presented to illustrate these emerging areas. Copyright © 2014 John Wiley & Sons, Ltd.