Department of Mathematics and Statistics

Scott Richter, Associate Professor

Scott Richter

Office: Petty 107
Email address: sjricht2 at uncg dot edu
Personal web page: www.uncg.edu/~sjricht2/

Education

Ph.D. in Statistics, Oklahoma State University (1997)

Teaching

Office hours: MW 3:20 PM-3:50 PM, and TR 1:00-2:00
Fall 2011
  • STA 481 (Intro to Design of Experiments), PETT 007, MW 2:00 PM-3:15 PM
  • STA 661 (Adv Sts Beh, Bio Sci I), PETT 227, MW 4:00 PM-5:15 PM
  • STA 675 (Advanced Experimental Design), PETT 007
Spring 2012
  • STA 352 (Statistical Inference), PETT 303, TR 2:00 PM-3:15 PM
  • STA 575 (Nonparametric Statistics), PETT 217, MW 2:00 PM-3:15 PM
  • STA 581 (SAS System Statistical Analysis), WEB
  • STA 661 (Adv Sts Beh, Bio Sci I), PETT 007, MW 4:00 PM-5:15 PM

Research Interests

Statistics

Recent Publications

  • Richter, S. J. ; McCann, M. H . Using the Tukey-Kramer Test as the Omnibus Test in the Hayter-Fisher Procedure. British Journal of Mathematical and Statistical Psychology (in press).
  • Lacey, E. P. ; Lovin, M. E. ; Richter, S. J. ; Herrington, D. A . Floral Reflectance, Color, and Thermoregulation: What Really Explains Geographic Variation in Thermal Acclimation Ability of Ectotherms? American Naturalist, 175 (2010), no. 3, 335--349.
  • Richter, Scott J. ; McCann, Melinda H. Step-down multiple comparison procedures using medians and permutation tests. Comm. Statist. Simulation Comput. 38 (2009), no. 8, 1551--1561.
  • Phillips, S. L. ; Richter, S. J. ; McPherson, D . Voiced initial consonant perception deficits in older hearing-impaired listeners with good and poor speech perception. Journal of Speech, Learning and Hearing Research, 52 (2009), 118--129.
  • Stavn, R. H. ; Richter, S. J . Biogeo-optics: Particle Optical Properties and the Partitioning of the Spectral Scattering Coefficient of Ocean Waters. Applied Optics, 47 (2008), no. 14, 2660-2679.

Brief Bio

Dr. Richter earned a Ph.D. in 1997 from Oklahoma State University, and he joined the UNCG faculty in 2001. His research focuses on nonparametric methods, multiple comparisons and interdisciplinary research.