• Professor of Statistics
• Ph.D., Cornell University, 1977
• Personal web site

Dr. Rosenberger has interests in statistical applications and the design of experiments for disciplines including agriculture, ecology, genomics, medicine, and transportation. Complex designs are frequently encountered in situations where physical restrictions, ethical limitations, or fiscal constraints prevent application of straightforward comparative experiment protocols. Nonstandard research designs often require nonstandard statistical analyses to reflect the degree of uncertainty and validity of an experiment.

Another area of interest has been statistical computing methodology and algorithms. He developed the algorithms for balanced, orthogonal analysis of variance and more general linear model routines (now in the Minitab statistical package) that provide estimates and hypothesis tests for unbalanced data often encountered in observational studies.

Dr. Rosenberger was department head from 1991 to July 2006. Previously he served as the founding director of the Statistical Consulting Center. He is a Fellow of the ASA, and formerly was chair, program chair, and newsletter editor of the Statistical Computing Section of the ASA. During a leave from 1998 through 2000 he served as the statistics program director at the National Science Foundation. He was formerly an editor of the journal Statistical Science.

Representative publications

W. L. Michener, T. J. Baerwald, P. Firth, M. A. Palmer, J. L. Rosenberger, E. A. Sandlin and H. Zimmerman. 2001. Defining and unraveling biocomplexity. Bioscience 51(12):1018-1023.

F. Pukelsheim and J. L. Rosenberger. 1993. Experimental designs for model discrimination. Journal of the American Statistical Association 88: 642-649.

J. L. Rosenberger. 1989. Design of experiments for evaluating frozen sperm. Journal of Andrology 11: 89-96.

R. R. Hill and J. L. Rosenberger. 1985. Methods for combining data from germ-plasm evaluation trials. Crop Science 25: 467-470.

J. L. Rosenberger and M. Gasko. 1982. Comparing location estimators: trimmed means, medians, and trimean. Understanding Robust and Exploratory Data Analysis, D. C. Hoaglin, F. Mosteller, and J. W. Tukey, eds. New York: J. Wiley & Sons.

Last updated: 28 April 2005