Dale Zimmerman

Dale Zimmerman
Professor of Statistics and Actuarial Science, College of Liberal Arts and Sciences

Contact Information

Primary Office: 241 Schaeffer Hall (SH)
Iowa City, IA 52242


  • PhD in Statistics, Iowa State University, Ames, Iowa, 1986
  • MS in Statistics, University of Minnesota, Minneapolis, Minnesota, United States, 1982
  • BS in Animal Ecology, Iowa State University, Iowa City, Iowa, United States, 1980
  • BS in Biometry, Iowa State University, 1980

Areas of Research Interest

  • antedependence models
  • environmetrics
  • linear model theory
  • spatial statistics
  • sports statistics

Selected Professional Memberships

  • Institute of Mathematical Statistics (IMS), 1986
  • American Statistical Association (ASA), 1983

Selected Publications

  • Malanson, G. P., Nelson, E. L., Zimmerman, D. L. & Fagre, D. B. (2020). Alpine plant community diversity in species-area relations at fine scale. Arctic, Antarctic, and Alpine Research, 52, 41-46.
  • Zimmerman, D. L., Zimmerman, D. D. & Zimmerman, J. T. (In Press). March Madness "Anomalies": Are they real, and if so, can they be explained?. The American Statistician.
  • Zimmerman, D. L. (In Press). The Theory of Linear Models, Exemplified. New York: Springer.
  • Zimmerman, D. L., Buckland, S. T. (2019). Environmental sampling design. In Handbook of Environmental and Ecological Statistics. pp. 181-210. CRC Press.
  • Zimmerman, D. L. (2019). Geostatistics. In Wiley Stats Ref: Statistics Reference Online.
  • Zidek, J., Zimmerman, D. L. (2019). Monitoring network design. In Handbook of Environmental and Ecological Statistics. pp. 499-522. CRC Press.
  • Zimmerman, D. L., Tang, J. & Huang, R. (2019). Outline analyses of the called strike zone in Major League Baseball. Annals of Applied Statistics, 13, 2416-2451.
  • Hogg, R. V., Tanis, E. A. & Zimmerman, D. L. (2019). Probability and Statistical Inference. (10th) Upper Saddle River, NJ: Pearson.
  • Ayalew, T. B., Krajewski, W. F., Mantilla, R. & Zimmerman, D. L. (2018). Can floods in large river basins be predicted from floods observed in small subbasins?. Journal of Flood Risk Management, 11, 331-338. DOI: 10.1111/jfr3.12327.
  • ElSaadani, M., Krajewski, W. F. & Zimmerman, D. L. (2018). River network based characterization of errors in remotely sensed rainfall products in hydrological applications. Remote Sensing Letters, 9, 743-752.
Last Modified Date: March 23, 2020