Dr. Jeong S. Sihm is a passionate educator and a statistician who specializes in sampling design and estimation methods. He holds a PhD in Computational Mathematics with a specialization in Applied Statistics; a Master of Arts in Applied Statistics; a Master of Science in Accounting; an MBA with a specialization in Corporate Finance; and a Bachelor of Science in Naval Architecture and Ocean Engineering. He spent 10 years in the IT industry before pursuing graduate education and a career in academia. He has taught various undergraduate mathematics and statistics courses since 2013 and has been working as a full-time faculty member since 2016. His current research interests are in the computational methods for populations and characteristics that are inherently difficult to sample and hard to detect. He is also passionate about bringing the latest technological advances and innovations in applied statistics and machine learning into undergraduate statistics education.
K. Savage, J. S. Sihm, S. K. Robinson and C. M. Stracey, Classication of alarm calls of nesting Northern Mockingbirds (Mimus polyglottos) by predator type (2020, Forthcoming in The Wilson Journal of Ornithology)
J. S. Sihm, A. Chhabra and S. N. Gupta, An optional unrelated question RRT model, Involve, A Journal of Mathematics 9 (2016), no. 2, 195--209.
J. S. Sihm and S. N. Gupta, A two-stage binary optional randomized response model, Commun. Stat. Simul. Comp. 44 (2015), no. 9, 2278--2296.
Calculus I, II, III, IV
Introduction to Data Science
Mathematical Statistics I, II