Bayesian Inference and Computation in Reliability and Survival Analysis

1. A Bayesian Approach for Step-stress Accelerated Life-tests for One-shot Devices under Exponential Distributions.- 2. Bayesian Estimation of Stress-strength Parameter for Moran-Downton Bivariate Exponential Distribution under Progressive Type-II Censoring.- 3. Bayesian Computation in A Birnbaum-Saunders Reliability Model with Applications to Fatigue Data.- 4. A Competing Risks Model Based on A Two-parameter Exponential Family Distribution under Progressive Type-II Censoring.- 5. Bayesian Computations for Reliability Analysis in Dynamic Environments.- 6. Bayesian Analysis of Stochastic Processes in Reliability.- 7. Bayesian Analysis of A New Bivariate Wiener Degradation Process.- 8. Bayesian Estimation for Bivariate Gamma Processes with Copula.- 9. Review of Statistical Treatment for Oncology Dose Escalation Trial with Prolonged Evaluation Window or Fast Enrollment.- 10. A Bayesian Approach for the Analysis of Tumorigenicity Data from Sacrificial Experiments under Weibull Lifetimes.- 11. Bayesian Sensitivity Analysis in Survival and Longitudinal Trial with Missing Data.- 12. Bayesian Analysis for Clustered Data under A Semi-competing Risks Framework.- 13. Survival Analysis for the Inverse Gaussian Distribution: Natural Conjugate and Jeffrey's Priors.- 14. Bayesian Inferences for Panel Count Data and Interval-censored Data with Nonparametric Modeling of the Baseline Functions.- 15. Bayesian Approach for Interval-censored Survival Data with Time-varying Coefficients.- 16. Bayesian Approach for Joint-modeling Longitudinal Data and Survival Data Simultaneously in Public Health Studies

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