Allison Jones-Farmer

Van Andel Professor of Business Analytics & Director of the Center for Analytics and Data Science

Information Systems & Analytics


Academic Background

  • Ph.D. University of Alabama, Applied Statistics, 1997
  • M.S. University of Alabama, Applied Statistics, 1996
  • B.S. Birmingham-Southern College, Mathematics, 1990

Academic & Professional Experience

  • Van Andel Professor, Miami University (2014–present)
  • C&E Smith Professor, Auburn University (2011–2014)
  • Associate Professor, Auburn University (2005–2013)
  • Assistant Professor, Auburn University (2002–2005)
  • Assistant Professor, University of Miami (1997–2002)

Selected Publications

  • Smith, H.W.*, Megahed, F., Jones-Farmer, L.A., and Clark, M. Using Visual Data Mining to Enhance the Simple Tools in Statistical Process Control. Forthcoming in Quality and Reliability Engineering International.
  • Hazen, B. T., Boone, C. A., Ezell, J. D. *, & Jones-Farmer, L. A. Data Quality for Data Science, Predictive Analytics, and Big Data in Supply Chain Management: An Introduction to the Problem and Suggestions for Research and Applications. Forthcoming in International Journal of Production Economics.
  • Jones-Farmer, L.A., Woodall, W.H., Steiner, S., and Champ, C.W., A Review and Perspective on Phase I of Statistical Process Control. Forthcoming in Journal of Quality Technology.
  • Bell, R.C.*, Jones-Farmer, L.A., and Billor, N. A Distribution-Free Multivariate Phase I Location Control Chart for Subgrouped Data from Elliptical Distributions. Forthcoming in Technometrics.
  • Jones-Farmer, L.A., Ezell, J.D.*, and Hazen, B.T.*(2014). Applying Control Chart Methods to Enhance Data Quality. Technometrics ,56(1), 29–41. (Invited presentation at the INFORMS Technometrics session, 2013, Minneapolis).
  • Perdomo, B.L. *, Jones-Farmer, L. A., Edwards, B.D., and Svyantek, D. (2014). The Robustness of ME/I Evaluations to Among-Group Dependence. Structural Equation Modeling: A Multidisciplinary Journal, 21, 40–53.
  • Hazen, B.T.*, Sankar, C., Wu, Y.*, and Jones-Farmer, L.A. (2012). A Proposed Framework for Educational Innovation Dissemination. Journal of Educational Technology Systems, 40(3), 301–321.
  • Jones-Farmer, L.A. and Champ, C.W. (2010). A Distribution-Free Phase I Control Chart for Subgroup Scale. Journal of Quality Technology, 42(4), 373–387.
  • Jones-Farmer, L.A. (2010). The Effect of Among Group Dependence on the Invariance Likelihood Ratio Test. Structural Equation Modeling: A Multidisciplinary Journal, 17(3), 464–480.
  • Jones-Farmer, L.A., Jordan, V., and Champ, C.W. (2009). Distribution-free Phase I Control Charts for Subgroup Location. Journal of Quality Technology, 41(3), 304–317.

Honors & Awards

  • Auburn University, Departmental Outstanding Teaching Award (2012)
  • Auburn University, MBA Core Teacher of the Year (2008)
  • Auburn University, Edward L. Lowder Endowed Teaching Award (2005)
  • University of Miami, Excellence in Teaching Award (1999)

Professional Interests

  • Research: Statistical Monitoring, Statistical Modeling
  • Teaching: Business Analytics, Predictive Modeling, Data Mining

Areas of Expertise

  • Statistics
  • Predictive Modeling
  • Statistical Process Control
  • Business Analytics


L. Allison Jones-Farmer (Ph.D. University of Alabama) currently holds the Van Andel Endowed Professorship in Business Analytics at Miami University. She is an active researcher, developing practical methods for analyzing data in industrial and business settings. She is currently on the editorial board of Journal of Quality Technology, and is a past Associate Editor for Technometrics. Dr. Jones-Farmer enjoys developing innovative curricula and teaching analytics and statistics to both undergraduate and graduate students. Dr. Jones-Farmer is the recipient of numerous teaching awards. Prior to joining Miami University of Ohio, Dr. Jones-Farmer was on the faculty at University of Miami in Coral Gables, Florida, and at Auburn University in Auburn, Alabama. She has consulted with numerous organizations and enjoys working with companies to improve their analytics capabilities.


  • ISA 444 A 1:15-2:35 TR FSB 0005

Contact Information

Office Hours

  • T 9-10
  • R 11:30-12:30


* Accessible version of PDF available upon request.