Academy of Mathematics and Systems Science, CAS
Colloquia & Seminars

Speaker:	Ng, Hon Keung Tony, Department of Statistical Science, Southern Methodist University, Dallas, Texas, USA
Inviter:
Title:	Gamma Degradation Model and Related Applications: From Light Intensity to Drug Dissolution
Time & Venue:	2019.12.17 14:00-15:00 N205
Abstract:	In engineering and sciences, the process that a system reduces in performance, reliability or life span of assets gradually and irreversibly is known as a degradation process. Degradation measurements are recorded over time for prognostics and health management purposes. The gamma degradation model has been used to characterize the evolution of degradation measurements. In this talk, I will first provide an introduction to the gamma degradation model. Then, I will introduce a two-phase degradation model and discuss the likelihood and Bayesian inference for this model. The gamma model and the inferential methods are applied to analyze a real data set of light emitting diodes (LEDs). In addition to engineering applications, I will also discuss an application of the gamma degradation model in biopharmaceutical statistics. The gamma degradation model is used for assessing the similarity of two drug dissolution profiles and its merits are discussed. 报告人简介: Hon Keung Tony Ng (吳漢強) is currently a professor of statistical science with the Southern Methodist University, Dallas, TX, USA. He is an associate editor of Communications in Statistics, Computational Statistics, IEEE Transactions on Reliability, Journal of Statistical Computation and Simulation, Naval Research Logistics, Sequential Analysis, and Statistics & Probability Letters. His research interests include reliability, censoring methodology, ordered data analysis, nonparametric methods, and statistical inference. He has published more than 120 research papers in refereed journals. He is the co-author of the book "Precedence-Type Tests and Applications" (2006, Wiley) and co-editor of the books "Ordered Data Analysis, Modeling and Health Research Methods" (2015, Springer), "Statistical Modeling for Degradation Data" (2017, Springer) and "Statistical Quality Technologies - Theory and Practice" (2019, Springer). Professor Ng is a fellow of the American Statistical Association, an elected senior member of IEEE, and an elected member of the International Statistical Institute.