Författare: Tzong-Ru Tsai

Stöd
Dr. Yuhlong Lio is a professor with the Department of Mathematical Sciences at the University of South Dakota, Vermillion, SD, USA. He is an associate editor of professional journals, including the Journal of Statistical Computation and Simulation. He is the co-editor of Statistical Modeling for Degradation Data and Statistical Quality Technologies: Theory and Practice. His research interests include reliability, quality control, censoring methodology, kernel smoothing estimation, and accelerated degradation data modelling. Dr. Lio has more than 100 refereed publications. Dr. Ding-Geng Chen is a fellow of the American Statistical Association and currently the executive director and professor in biostatistics at Arizona State University. He was the Wallace Kuralt Distinguished Professor at the University of North Carolina at Chapel Hill, a professor in biostatistics at the University of Rochester, and the Karl E. Peace Endowed Eminent Scholar Chair in Biostatistics at Georgia Southern University. He is also a senior statistics consultant for biopharmaceuticals and government agencies with extensive expertise in Monte Carlo simulations, clinical trial biostatistics, and public health statistics. Dr. Chen has more than 200 refereed professional publications, and he has co-authored and co-edited 33 books on clinical trial methodology, meta-analysis, and public health applications. He has been invited nationally and internationally to give speeches on his research. Dr. Chen was honored with the ”Award of Recognition” in 2014 by the Deming Conference Committee for highly successful advanced biostatistics workshop tutorials with his books. Dr. Hon Keung Tony Ng is currently a professor of statistical science with 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 and Probability Letters. His research interests include reliability, censoring methodology, ordered data analysis, nonparametric methods, and statistical inference. He has published more than 140 research papers in refereed journals. He is the co-author of the book Precedence-Type Tests and Applications and co-editor of Statistical Modeling for Degradation Data, Statistical Quality Technologies: Theory and Practice, Ordered Data Analysis, and Modeling and Health Research Methods. 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. Dr. Tzong-Ru Tsai is currently the Dean of the College of Business and Management and a professor in the Department of Statistics at Tamkang University in New Taipei City, Taiwan. His main research interests include quality control, reliability analysis, and machine learning. He has served as a consultant with extensive expertise in statistical quality control and experimental design for many companies in the past years. He is the co-editor of Statistical Modeling for Degradation Data and Statistical Quality Technologies: Theory and Practice. He is an associate editor of the Journal of Statistical Computation and Simulation and Mathematics. Dr. Tsai has more than 100 refereed publications.




3 E-böcker av Tzong-Ru Tsai

Yuhlong Lio & Hon Keung Tony Ng: Statistical Quality Technologies
This book explores different statistical quality technologies including recent advances and applications. Statistical process control, acceptance sample plans and reliability assessment are some of t …
PDF
Engelska
€139.09
Ding-Geng (Din) Chen & Yuhlong Lio: Statistical Modeling for Degradation Data
This book focuses on the statistical aspects of the analysis of degradation data. In recent years, degradation data analysis has come to play an increasingly important role in different disciplines s …
PDF
Engelska
€106.99
Yuhlong Lio & Ding-Geng Chen: Bayesian Inference and Computation in Reliability and Survival Analysis
Bayesian analysis is one of the important tools for statistical modelling and inference. Bayesian frameworks and methods have been successfully applied to solve practical problems in reliability and …
PDF
Engelska
€139.09