Speaker
Dr. Hon Keung Tony Ng, Professor, Department of Mathematical Sciences, Bentley University, Fellow of ASA, Elected Member of ISI, Senior Member of IEEE
Title
Statistics Seminar Series
Subtitle
Degradation Models and Related Applications: From Drug Dissolution to Network Reliability
Physical Location
TBA
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. This talk surveys stochastic degradation modeling with a focus on the gamma and Wiener processes, which capture monotone wear and fluctuation-driven dynamics, respectively. I will present practical extensions of these models and related inference. Applications include power-grid network reliability, network design, and cybersecurity risk assessment. I will also highlight an application in biopharmaceutical statistics, illustrating how degradation models can be applied to different fields of studies.
References:
D. G. Chen, Y. L. Lio, H. K. T. Ng, T. R. Tsai (Eds.) (2017). Statistical Modeling for Degradation Data, ICSA Book Series in Statistics, Springer, Singapore.
Y. Chen and H. K. T. Ng (2024). Statistical models and algorithms for assessing robustness and reliability of networks with applications in cybersecurity insurance, Variance, 17 (1).
Y. Chen, H. K. T. Ng, Y. Gel, and H. V. Poor (2025). Understanding Power Grid Network Vulnerability through the Stochastic Lens of Network Motif Evolution, to appear in Journal of the Royal Statistical Society: Series C (Applied Statistics), 74, 638–658.
H. K. T. Ng, M. H. Ling and P. S. Chan (2018). A gamma process modeling approach for the comparison of dissolution profiles, Drug Development and Industrial Pharmacy, 44, 553 – 562.
T. Pourmohamad and H. K. T. Ng (2023). Statistical Modeling Approaches for the Comparison of Dissolution Profiles, Pharmaceutical Statistics, 22, 328–348.
About the Speaker:
Hon Keung Tony Ng is a Professor in the Department of Mathematical Sciences at Bentley University (Waltham, MA, USA). He is Co-Editor of Communications in Statistics—Simulation and Computation and serves as Associate Editor for IEEE Transactions on Reliability, Naval Research Logistics, Sequential Analysis, and Statistics & Probability Letters. His research interests include reliability, censoring methodology, degradation modeling, ordered data analysis, nonparametric methods, and statistical inference. He has published over 200 refereed papers and co-authored Precedence-Type Tests and Applications (Wiley, 2006) and Fiber Bundles: Statistical Models and Applications (Springer, 2023). He has also co-edited the books Ordered Data Analysis, Modeling and Health Research Methods; Statistical Modeling for Degradation Data; Statistical Quality Technologies: Theory and Practice; Bayesian Inference and Computation in Reliability and Survival Analysis; and Recent Advances on Sampling Methods and Educational Statistics. He is a Senior Member of IEEE, an elected member of International Statistical Institute, a Fellow of American Statistical Association, and a Senior Member of American Society for Quality.
Note:
Contact Prof. JZ at jzhang@math.msstate.edu for additional information.