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Allison Jones-Farmer

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

Information Systems & Analytics


Allison Jones-Farmer

Contact Information

Office Hours

  • M 9-11
  • TR 845-945

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, 兔子先生 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 兔子先生 (1997-2002)

Recent Publications

  • ANDERSON鈥怌OOK, C. M., LU, L., GRAMACY, R. B., JONES-FARMER, A., MONTGOMERY, D. C., WOODALL, W. H. (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., FARMER, L., RIGDON, S., KRZYWINSKI, M., ALTMAN, N. (2024). Comparing classifier performance with baselines. Nature Methods, 21, 546鈥548. doi:10.1038/s41592-024-02234-5.
  • COLOSIMO, B. M., FARMER, L., MEGAHED, F., PAYNABAR, K., RANJAN, C., WOODALL, W. (2024). Statistical Process Monitoring from Industry 2.0 to Industry 4.0: Insights into Research and Practice. Technometrics, 1鈥24. doi:10.1080/00401706.2024.2327341.
  • JONES-FARMER, A., MEGAHED, F., CHEN, Y.-J., ZWETSLOOT, I., KNOTH, S., MONTGOMERY, D. C., CAPIZZI, G. (2024). Editorial advice for selecting an open-source license for your next paper: Navigating copyrights for publicly facing AI chatbots. Journal of Quality Technology, 56 (5), 468-473. doi:10.1080/00224065.2024.2391682.
  • ZWETSLOOT, I. M., FARMER, L., WOODALL, W. H. (2024). Monitoring univariate processes using control charts: Some practical issues and advice. Quality Engineering, 36 (3), 487-499. doi:10.1080/08982112.2023.2238049.
  • RITTER, C., FARMER, L., FALTIN, F. W. (2024). Expensive but Worth It: Live Projects in Statistics, Data Science, and Analytics Courses. Journal of Statistics and Data Science Education, 1-11. doi:10.1080/26939169.2024.2374565.
  • MEGAHED, F., CHEN, Y.-J., ZWETSLOOT, I. M., KNOTH, S., MONTGOMERY, D. C., 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., 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.
  • FARMER, L. (2023). Discussion of 鈥淚s designed data collection still relevant in the big data era?鈥. Quality and Reliability Engineering International, 39 (4), 1114-1116. doi:10.1002/qre.3325.
  • DALATSARA, H. A., CHEN, Y.-J., LEONARD, R., MEGAHED, F. M., JONES-FARMER, A. (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.
  • RIGDON, S. E., MEGAHED, F. M., JONES-FARMER, A., MA, Y. (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., FARMER, L., LEBER, D., PATTERSON, A., PERRY, M., STEINER, S. H., ... STEVENS, N. T. (2022). Statistical engineering 鈥 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., FARMER, L., LEBER, D., PATTERSON, A., PERRY, M., STEINER, S. H., ... STEVENS, N. T. (2022). Statistical engineering 鈥 Part 1: Past and present. Quality Engineering, 34 (4), 426-445. doi:10.1080/08982112.2022.2106439.
  • MEGAHED, F. M., JONES-FARMER, A., ZHAO, L., RIGDON, S. E. (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.
  • HAJIFAR, S., SUN, H., MEGAHED, F., FARMER, L., RASHEDI, E., CAVUOTO, 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.
  • CAVUOTO, L., BAGHDADI, A., FARMER, L., RIGDON, S., ESFAHANI, E., MEGAHED, F. (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., JONES-FARMER, A., HART, J., HOLMES, W. (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.
  • 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
  • 兔子先生 University, Richard K. Smucker Endowed Teaching Award (2020)
  • Auburn University, Edward L. Lowder Endowed Teaching Award (2005)
  • University of 兔子先生, 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 兔子先生 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 兔子先生 University of Ohio, Dr. Jones-Farmer was on the faculty at University of 兔子先生 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

  • ISA 444/544 A 115-235 TR FSB0031
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