References
- Anderson-Cook, C. M., and L. Lu. 2012. Editorial for statistical engineering special issue. Quality Engineering 24 (2):107–9. doi: 10.1080/08982112.2012.654420.
- Anderson-Cook, C. M., and L. Lu. 2015. Much-needed structure: A new 5-step decision-making process helps you evaluate. Balance Competing Objectives” Quality Progress 48 (10):42–50.
- Anderson-Cook, C. M., and L. Lu. 2018. Graphics to facilitate informative discussion and team decision-making. Applied Stochastic Models in Business and Industry 34 (6):989–91. 963980doi: 10.1002/asmb.2376.
- Anderson-Cook, C. M., L. Lu, G. Clark, S. P. DeHart, R. Hoerl, B. Jones, R. J. MacKay, D. C. Montgomery, P. A. Parker, J. Simpson, et al. 2012a. Statistical engineering – Forming the foundations. Quality Engineering 24 (2):110–32. doi: 10.1080/08982112.2012.641150.
- Anderson-Cook, C. M., L. Lu, G. Clark, S. P. DeHart, R. Hoerl, B. Jones, R. J. MacKay, D. C. Montgomery, P. A. Parker, J. Simpson, et al. 2012b. Statistical engineering – Roles for statisticians and the the path forward. Quality Engineering 24 (2):133–52. doi: 10.1080/08982112.2012.641151.
- Anderson-Cook, C. M., L. Lu, and P. Parker. 2019. “Effective interdisciplinary collaboration between statisticians and other subject matter experts” (with discussions). Quality Engineering 31 (1):164–76. doi: 10.1080/08982112.2018.1530357.
- Davenport, T., and J. Harris. 2017. Competing on analytics: the new science of winning. Updated edition. Boston, MA: Harvard Business School Press.
- De Mast, J., S. H. Steiner, W. P. M. Nuijten, and D. Kapitan. 2022. Analytical problem solving based on causal, correlational and deductive models. The American Statistician.. doi: 10.1080/00031305.2021.2023633.
- Freeman, L. 2020. Test and evaluation for artificial intelligence. Insight 23 (1):27–30. doi: 10.1002/inst.12281.
- Freeman, L., A. Rahman, and F. A. Batarseh. 2021. Enabling artificial intelligence adoption through assurance. Social Sciences 10 (9):322. doi: 10.3390/socsci10090322.
- Hare, L. B., R. J. Does, R. W. Hoerl, and R. D. Snee. 2021. Statistical engineering handbook, international statistical engineering association. Available at the members-only section of the ISEA website: https://isea-change.org/.
- Hoerl, R. W., W. Jensen, and J. de Mast. 2021a. Understanding and addressing complexity in problem solving. Quality Engineering 33 (4):612–26. doi: 10.1080/08982112.2021.1952230.
- Hoerl, R. W., D. Kuonen, and T. C. Redman. 2021b. “ Framing data science projects the right way from the start. Sloan Management Review (online), April 14. Available at: https://sloanreview.mit.edu/article/framing-data-science-problems-the-right-way-from-the-start/ (accessed July 28, 2022).
- Hoerl, R. W., and R. D. Snee. 2010a. Closing the gap: Statistical engineering links statistical thinking, methods, tools. Quality Progress 43 (5):52–3.
- Hoerl, R. W., and R. D. Snee. 2010b. Tried and true: Organizations put statistical engineering to the test, see results. Quality Progress 43 (6):58–60.
- Hoerl, R. W., and R. D. Snee. 2010c. Further explanation. Quality Progress 43 (12):69.
- Hoerl, R. W., and R. D. Snee. 2017. Statistical Engineering: An Idea Whose Time Has Come? The American Statistician 71 (3):209–19. doi: 10.1080/00031305.2016.1247015.
- Hoerl, R. W., and R. D. Snee. 2020. Statistical Thinking: Improving Business Performance. 3rd ed. Hoboken, NJ: Wiley.
- Jensen, W. A. 2021. “Redesigning the traditional statistics class to teach data consumers.” https://towardsdatascience.com/redesigning-the-traditional-statistics-class-to-teach-data-consumers-8c057e55ddc4 (accessed July 28, 2022).
- Jordan, M. I. 2019. Decisions and contexts: On gradient-based methods for finding game-theoretic equilibria. Paper presented at Symposium on Statistics in the Data Science Era, University of Michigan, Sept. 20.
- Lee, Y., K. A. Kozar, and K. R. T. Larsen. 2003. The technology acceptance model: Past, present, and future. Communications of the Association for Information Systems 12 (1):752–80. doi: 10.17705/1CAIS.01250.
- Lindsay, B. G., J. Kettenring, and D. O. Siegmund. 2004. A report on the future of statistics (with discussion). Statistical Science 19 (3):387–413. doi: 10.1214/088342304000000404.
- O’Hara, B. 2012. How did Nate Silver predict the U.S. election? Guardian https://www.theguardian.com/science/grrlscientist/2012/nov/08/nate-sliver-predict-us-election (accessed July 28, 2022).
- Rittel, H. W. J., and M. Webber. 1973. Dilemmas in a general theory of planning. Policy Sciences 4 (2):155–69. doi: 10.1007/BF01405730.
- Steiner, S., R. M. Dickinson, L. J. Freeman, B. A. Simpson, and A. G. Wilson. 2015. Statistical methods for combining information: Stryker family of vehicles reliability case study. Journal of Quality Technology 47 (4):400–15. doi: 10.1080/00224065.2015.11918142.
- World Economic Forum. 2020. The Future of Jobs Report 2020. Geneva: WEF.