¾أ¾أث®أغجز

Skip to Main Content

FSB Directory

Allison Jones-Farmer

Van Andel Professor of Business Analytics & Professor & MSBA Faculty Director

Information Systems & Analytics


Allison Jones-Farmer

Contact Information

Office Hours

  • TR 130-230
  • By Appointment at this link:

Links

  • [PDF]*

* Accessible version of PDF available upon request.

Profile

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, ¾أ¾أث®أغجز (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 ¾أ¾أث®أغجز (1997-2002)

Recent Publications

  • ANDERSONâ€گCOOK, C. M., LU, L., GRAMACY, R. B., MONTGOMERY, D. C., WOODALL, W. H., JONES-FARMER, L. (2024). Publishing an applied statistics paper: Guidance and advice from editors. Quality and Reliability Engineering International, 40 (4), 1918-1934. doi:10.1002/qre.3501.
  • MEGAHED, F., CHEN, Y.-J., RIGDON, S., KRZYWINSKI, M., ALTMAN, N., JONES-FARMER, L. (2024). Comparing classifier performance with baselines. Nature Methods, 21, 546–548. doi:10.1038/s41592-024-02234-5.
  • COLOSIMO, B. M., MEGAHED, F., PAYNABAR, K., RANJAN, C., WOODALL, W., JONES-FARMER, L. (2024). Statistical Process Monitoring from Industry 2.0 to Industry 4.0: Insights into Research and Practice. Technometrics, 1–24. doi:10.1080/00401706.2024.2327341.
  • ZWETSLOOT, I. M., WOODALL, W. H., JONES-FARMER, L. (2024). Monitoring univariate processes using control charts: Some practical issues and advice. Quality Engineering, 36 (3), 487-499. doi:10.1080/08982112.2023.2238049.
  • MEGAHED, F., CHEN, Y.-J., ZWETSLOOT, I. M., KNOTH, S., MONTGOMERY, D. C., JONES-FARMER, L. (2024). Introducing ChatSQC: Enhancing statistical quality control with augmented AI. Journal of Quality Technology, 1-24. doi:10.1080/00224065.2024.2372328.
  • MEGAHED, F., CHEN, Y.-J., FERRIS, J., KNOTH, S., JONES-FARMER, L. (2024). How generative AI models such as ChatGPT can be (mis)used in SPC practice, education, and research? An exploratory study. Quality Engineering, 36 (2), 287-315. doi:10.1080/08982112.2023.2206479.
  • DALATSARA, H. A., CHEN, Y.-J., LEONARD, R., MEGAHED, F. M., JONES-FARMER, L. (2023). Explaining Predictive Models: An Experimental Study of Data Preparation and Model Choice on Predictive Performance. Big Data, 11 (3), 199 - 214. doi:https://doi.org/10.1089/big.2021.0067.
  • DOLATSARA, H., CHEN, Y.-J., LEONARD, R., MEGAHED, F., JONES-FARMER, L. (2023). Explaining predictive model performance: An experimental study of data preparation and model choice.. Big Data, 11 (3), 199-214.
  • RIGDON, S. E., MEGAHED, F. M., MA, Y., JONES-FARMER, L. (2022). Explaining the Varying Patterns of COVID-19 Deaths Across the United States: 2-Stage Time Series Clustering Framework. JMIR Public Health and Surveillance, 8 (7), e32164. doi:10.2196/32164.
  • ANDERSON-COOK, C. M., LU, L., BRENNEMAN, W., DE MAST, J., FALTIN, F., FREEMAN, L., GUTHRIE, W., HOERL, R., JENSEN, W., LEBER, D., PATTERSON, A., PERRY, M., STEINER, S. H., STEVENS, N. T., ... JONES-FARMER, L. (2022). Statistical engineering – Part 2: Future. Quality Engineering, 34 (4), 446-467. doi:10.1080/08982112.2022.2106440.
  • ANDERSON-COOK, C. M., LU, L., BRENNEMAN, W., DE MAST, J., FALTIN, F., FREEMAN, L., GUTHRIE, W., HOERL, R., JENSEN, W., LEBER, D., PATTERSON, A., PERRY, M., STEINER, S. H., STEVENS, N. T., ... JONES-FARMER, L. (2022). Statistical engineering – Part 1: Past and present. Quality Engineering, 34 (4), 426-445. doi:10.1080/08982112.2022.2106439.
  • L, L., WEESE, M. L., MARTINEZ, W. G., JONES-FARMER, L. (2022). Robustness of the one-class Peeling method to the Gaussian Kernel Bandwidth. Quality and Reliability Engineering International, 38, 1289-1301. doi:https://doi.org/10.1002/qre.2990.
  • MEGAHED, F. M., ZHAO, L., RIGDON, S. E., JONES-FARMER, L. (2021). Modeling the differences in the time-series profiles of new COVID-19 daily confirmed cases in 3,108 contiguous U.S. counties: A retrospective analysis. PLOS One, 16 (11), e0242896. doi:10.1371/journal.pone.0242896.
  • LAMOOKI, S. R., CAVUOTO, L. A., MEGAHED, F. M., JONES-FARMER, L. (2021). Personalized and Nonparametric Framework for Detecting Changes in Gait Cycles. IEEE Sensors, 21 (17), 19236-19246. doi:10.1109/JSEN.2021.3090985.
  • HAJIFAR, S., SUN, H., MEGAHED, F., RASHEDI, E., CAVUOTO, L., JONES-FARMER, L. (2021). A forecasting framework for predicting perceived fatigue: Using time series methods to forecast ratings of perceived exertion with features from wearable sensors. Applied Ergonomics, 90, 103262. doi:10.1016/j.apergo.2020.103262.
  • COLOSIMO, B. M., DEL CASTILLO, E., FARMER, L., PAYNABAR, K. (2021). Artificial intelligence and statistics for quality technology: an introduction to the special issue. Journal of Quality Technology, 53 (5), 443-453. doi:10.1080/00224065.2021.1987806.
  • HAJIFAR, S., SUN, H., , F. M., RASHEDI, E., JONES-FARMER, L. (2021). A Forecasting Framework for Predicting Perceived Fatigue: Using Time Series Methods to Forecast Ratings of Perceived Exertion with Features from Wearable Sensors. Applied Ergonomics, 90.
  • COLOSIMO, B. M., E., D. C., PAYNABAR, K., JONES-FARMER, L. (2021). Artificial Intelligence and Statistics for Quality Technology: An Introduction to the Special Issue. Journal of Quality Technology, 53 (5), 443-453.
  • CAVUOTO, L., BAGHDADI, A., RIGDON, S., ESFAHANI, E., MEGAHED, F., JONES-FARMER, L. (2021). Monitoring Worker Fatigue Using Wearable Devices: A Case Study to Detect Changes in Gait Parameters. Journal of Quality Technology, 53 (1), 47-71. doi:10.1080/00224065.2019.1640097.
  • NIEMESH, G., HART, J., HOLMES, W., JONES-FARMER, L. (2020). The Impact of Land Bank Demolitions on Property Values. Economics Bulletin, 40 (1), 217-233.
  • MARTINEZ, W., WEESE, M., JONES-FARMER, L. (2020). A One-Class Peeling Method for Multivariate Outlier Detection with Applications in Phase I SPC. Quality and Reliability Engineering International, 36 (4), 1272-1295. doi:10.1002/qre.2629.
  • JONES-FARMER, L. (2019). Leveraging industrial statistics in the data revolution: The Youden Memorial Address at the 63rd Annual Fall Technical Conference. Quality Engineering, 31 (2), 205-211. doi:10.1080/08982112.2019.1572187.

Honors & Awards

  • Lloyd Nelson Award from Statistics Division of the American Society for Quality
  • Decision Sciences Journal of Innovative Education Best Research Article Award
  • ¾أ¾أث®أغجز, Richard K. Smucker Endowed Teaching Award (2020)
  • Auburn University, Edward L. Lowder Endowed Teaching Award (2005)
  • University of ¾أ¾أث®أغجز, Excellence in Teaching Award (1999)

Professional Interests

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

Areas of Expertise

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

Biography

L. Allison Jones-Farmer (Ph.D. University of Alabama) currently holds the Van Andel Endowed Professorship in Business Analytics at ¾أ¾أث®أغجز. 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 ¾أ¾أث®أغجز of Ohio, Dr. Jones-Farmer was on the faculty at University of ¾أ¾أث®أغجز 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.

Courses

  • PLEASE ADD TO HOURS ALREADY THERE.
+