Steve E. Rigdon, Ph.D.
Bayesian Statistics; Capstone in Biostatistics
- Ph.D., Statistics, University of Missouri-Columbia
- M.A., University of Missouri-St. Louis
- B.A., University of Missouri-St. Louis
Biosurveillance; models for election prediction; quality; survival analysis.
Publications and Media Placements
Rigdon has published in Technometrics, Journal of Quality Technology and Quality Engineering. His work in models for election prediction was profiled in a 2008 Wall Street Journal article and interviews with local TV stations, KMOV and Fox 2.
He is also the author of Calculus, 8th and 9th ed., published by Pearson, and Statistical Methods for the Reliability of Repairable Systems, published by Wiley.
His research on optical experimental design is funded by the National Science Foundation in a collaboration grant with researchers at Arizona State University.