主 题：Gamma Degradation Model and Related Applications: From Light Intensity to Drug Dissolution
主讲人：南卫理公会大学 Ng, Hon Keung Tony教授
主办单位：统计研究中心 统计学院 科研处
Hon Keung Tony Ng is currently a professor with the Department of Statistical Science, Southern Methodist University, Dallas, TX, USA. He received the B.Sc. and M.Phil. in statistics from The Chinese University of Hong Kong, in 1997 and 1999, and received the M.Sc. and Ph.D. degrees in statistics from McMaster University, Hamilton, ON, Canada, in 2000, and 2002, respectively. He is an associate editor of Communications in Statistics, Computational Statistics, IEEE Transactions on Reliability, Journal of Statistical Computation and Simulation, and Statistics and Probability Letters. His research interests include reliability, censoring methodology, nonparametric methods, and statistical inference. He has co-authored/edited 3 books and published more than 110 research papers. Some of which are published in the top journals of statistics and reliability such as Biometrics, Biostatistics, Annals of Applied Statistics and IEEE Transactions on Reliability. Dr. Ng is a Fellow of the American Statistical Association (ASA), elected Senior Member of the Institute of Electrical and Electronics Engineers (IEEE), and an elected member of the International Statistical Institute.mepage：http://faculty.smu.edu/ngh/
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.