People

Sat Gupta

Sat Gupta

Professor

Office: Petty 126
Email: sngupta@uncg.edu
Personal Website: http://www.uncg.edu/~sngupta/
Starting year at UNCG: 2004
Office Hours: By appointment only.

Education

Degree(s): Ph.D. in Statistics, Colorado State University (1987), Ph.D. in Mathematics, University of Delhi (1977)

Teaching

Spring
  • MAT-799 DTS (Dissertation)
Summer Session 1
  • STA-108 LEC (Elemntry Intro Probablty Stats)

Research

Member of the Research Group(s): Mathematical Biology, Statistics
Current Students: Qi Zhang (Ph.D.), Pujita Sapra (Ph.D.), Badr Aloraini (Ph.D.)
Former Students: Sundar Thapa (M.A.), Supriti Sehra (M.A.), Guanghui Lei (M.A.), Norbert Kadima (M.A.), Tanja Zatezalo (Ph.D.), Ping Wang (M.A.), Arpad Szarka (M.A.), David Suarez (M.A.), Robert Stoesen (M.A.), Nicholas Stewart (M.A.), Jeong Sep Sihm (Ph.D.), Matt Jester (M.A.), Monika Goel (M.A.)

Research Interests: Sample Surveys, Biostatistics, Time Series Forecasting

Selected Publications

  • Gupta, S., Shabbir, J. and Sehra, S. (2010). Mean and Sensitivity Estimation in Optional Randomized Response Models. Journal of Statistical Planning and Inference, Vol. 140, 2870-2874
  • Gupta, S., Mehta, S., Shabbir, J. and Dass, B. K. (2013). Generalized scrambling in quantitative optional randomized response models, Communications in Statistics – Theory and Methods, Vol. 42, No. 22, 4034-4042
  • Koyuncu, N., Gupta, S., and Sousa, R. (2014): Exponential Type Estimators of the Mean of a Sensitive Variable in the Presence of Non-Sensitive Auxiliary Information. Communications in Statistics – Simulation and Computation, Vol. 43, No. 7, 1583-1594
  • Sihm, J.S., Gupta, S. (2015): A Two-Stage Binary Optional Randomized Response Model. Communications in Statistics – Simulation and Computation, Vol. 44, No. 9, 2278 – 2296

Brief Biography

Dr. Gupta earned a Ph.D. in Mathematics from the University of Delhi (1977) and a Ph.D. in Statistics from Colorado State University (1987). He joined the UNCG faculty in 2004 after being at University of Southern Maine for 18 years. His research studies include sampling designs, time series forecasting, and biostatistics. He is founding editor of the Journal of Statistical Theory and Practice (http://www.tandfonline.com/loi/UJSP20)