معرفی
Steve E. Rigdon is a Professor in the Department of Epidemiology and Biostatistics at the College for Public Health and Social Justice, Saint Louis University. His expertise lies in statistical inference, biosurveillance, and reliability modeling.
Education:
- Ph.D. in Statistics, University of Missouri-Columbia
- M.A., University of Missouri-St. Louis
- B.A., University of Missouri-St. Louis
Dr. Rigdon's research focuses on biosurveillance, election prediction models, quality engineering, and survival analysis. He has made significant contributions to the statistical modeling of repairable systems and optical experimental design. His work bridges theoretical statistics with real-world public health and engineering applications.
His publications appear in top-tier journals including Technometrics, Journal of Quality Technology, and Quality Engineering. He is also the author of influential textbooks such as Calculus (8th and 9th editions) and Statistical Methods for the Reliability of Repairable Systems. His election prediction models were featured in the Wall Street Journal and local media in 2008.
Research Funding:
- National Science Foundation (NSF) grant for research on optical experimental design, in collaboration with Arizona State University.
Dr. Rigdon teaches Bayesian Statistics and the Capstone in Biostatistics, mentoring students in advanced statistical applications. He is active in research dissemination through platforms like ResearchGate.
His office is located at Wool Center, Second Floor, Room 276H, 3545 Lindell Blvd., St. Louis, MO 63103.
