Faculty
Sat Gupta
The current focus of my research lies in the area of Sample Surveys, particularly surveys involving sensitive questions. I have received funding from NSF, NIH, Robert Wood Johnson Foundation and Forum for Interdisciplinary Mathematics, provided Statistical Consulting to numerous clients, both on-campus and off-campus, and have testified in several court cases as an expert witness. Over my career, I have collaborated with researchers from many fields such as Anthropology, Biology, Education, Marine Biology, Nursing, Public Health Education and Psychology. For more information, please visit my personal home page.
Scott Richter
My current research interests are in the area of nonparametric methods, especially those based on resampling. Recent work has focused on a developing nonparametric analog to the Tukey-Kramer multiple comparison procedure. My work has appeared in such journals as, Journal of Applied Statistics, Journal of Statistical Simulation and Computation and Communications in Statistics: Computation and Simulation.
I have been the Director of the Statistical Consulting Center since 2003 during which time I consulted extensively with faculty and graduate student researchers from a wide variety of specialty areas. These interactions have often led to collaborations resulting in co-authored publications and externally funded projects.
Roland Deutsch
My main research interest is in the field of Environmetrics. Currently, I am working on methods for deducting safe co-exposure limits for humans to a combination of toxic substances based on parametric and non-parametric dose-response models. I am also involved in UNCG’s MathBio program: My main project is on using coalescent theory to model and detect genes that are influenced by natural selection. I also worked on a project studying the effect of multiple-mating strategies on the diversity in honeybee colonies. Further research projects involve exact closed sequential sampling schemes and studied their applications in industrial quality control, Medicare fraud investigations and election audits, as well as co-developing an algorithm for an index to measure social vulnerability of geographical units.
Insuk Shim