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
319-335-0818

Education

  • 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 Publications

  • 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.
  • Zimmerman, D. L., Buckland, S. T. (In Press). Environmental sampling design. In Handbook of Environmental and Ecological Statistics.
  • Zidek, J., Zimmerman, D. L. (In Press). Monitoring network design. In Handbook of Environmental and Ecological Statistics.
  • 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.
  • Malanson, G. P., Fagre, D. B. & Zimmerman, D. L. (2018). Scale dependence of diversity in alpine tundra, Rocky Mountains, USA. Plant Ecology, 219, 999-1008.
  • Malanson, G. P., Zimmerman, D. L. & Fagre, D. B. (2017). Distance and environmental difference in alpine plant communities. Physical Geography, 38, 489-505. DOI: 10.180/02723646.2017.1327284.
  • Zimmerman, D. L., Ver Hoef, J. M. (2017). The Torgegram for fluvial variography: Characterizing spatial dependence on stream networks. Journal of Computational and Graphical Statistics, 26, 253-264.
  • Malanson, G. P., Zimmerman, D. L., Kinney, M. & Fagre, D. B. (2016). Relations of alpine plant communities across environmental gradients: multilevel versus multiscale analyses. Annals of the American Association of Geographers, 107, 41-53. DOI: DOI:10.1080/24694452.2016.1218267.
  • Chang, S., Zimmerman, D. L. (2016). Skew-normal antedependence models for skewed longitudinal data. Biometrika, 103, 363-376.
  • Zimmerman, D. L. (2015). Comment on "Efficient prediction designs for random fields". Applied Stochastic Models in Business and Industry, 31, 195-197.
Last Modified Date: January 30, 2019