B.S. in Computer Science and Statistics, Seoul National University
M.S. & Ph.D. in Statistics, 1984, Virginia Tech
Research Interests: Statistics; Statistical Quality Control.
Changsoon Park’s research interests are statistical process control, especially in multi-stage process monitoring, quality engineering, and structural equation modeling. After earning his Ph.D., he has worked in the Department of Applied Statistics, at Chung-Ang University, Seoul,.until 2017. His current research interest is mainly focusing on the unified approach of the statistical process monitoring. He visited Virginia Tech in 1990-1991, 1998, and Purdue University in 2006, as a visiting professor. He was the past President of the Korean Statistical Society (KSS), and the past Vice President of the Korean Society for Quality Management (KSQM). He is a permanent member of KSS and KSQM, and was a member of ASA, ASQ, and IEEE.
My research interests are statistical process control, structural equation modeling (SEM), and path analysis. Statistical process control is a statistical tool for monitoring the manufacturing process to stay in control and minimize the loss during the process. I have devoted myself to statistical process control for most of my academic career. But for the last ten years, I also have been interested in SEM, including path analysis. SEM and path analysis mainly develop relations among multiple variables using covariance structures. Recently, I have been focusing my research on the within-subject repeated measures design, which is especially necessary when the measures are repeated within each subject. However, this has not been studied much in the literature despite the prevalence of such circumstances.