Resume
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Dr. David H. Bennett
(Fisheries Ecology)


Dr. C. Michael Falter
(Aquatic Ecology)


Dr. John T. Ratti
(Wildlife Ecology)


Dr. R. Kirk Steinhorst
(Statistics)


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Dr. R. Kirk Steinhorst
General Information

Department of Statistics
University of Idaho
Moscow, Idaho 83844-1104
Telephone 208-882-6332
Email: 
kirk@uidaho.edu or 42kirk@moscow.com

Kirk Steinhorst completed his Ph.D. (1971) and M.S. (1969) in Statistics at Colorado State University.  His B.S. in Mathematics was from the University of Southwestern Louisiana in 1966.  His professional employment includes Assistant Professor at San Diego State University (1970-1), Texas A&M University (1975-7), and the University of Idaho (1977-81), Director of Statistical Services IBP Grassland Biome Program (1972-5), Experiment Station Statistician at Texas A&M University (1975) and the University of Idaho (1977-83), and Professor at the University of Idaho (1983- present). 

Kirk has taught essentially every statistics course offered from introductory statistics to mathematical statistics and the theory of linear models.  He has written several papers on teaching statistics.  He has served as a statistical consultant from the time he was in graduate school in the 1960s to the present.  In addition to serving faculty, staff, and students at the various universities, he has consulted with federal and state governments, Indian tribes, and private businesses.

He has served as associate editor for The American Statistician and the Journal of Agricultural, Biological, and Environmental Statistics.  He was president of the Western North American Region (WNAR) of the International Biometric Society (IBS) and has served on numerous committees for the American Statistical Association and WNAR/IBS.

Kirks research reflects his interests in biometry, consulting, statistical pedagogy, and linear models/multivariate analysis.  Recent work involves collaborative research in fisheries, statistical programming in experimental design, and developing better techniques for teaching the introductory statistics courses.

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