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 the International Statistical Institute, a Fellow of the American Statistical Association, and a Senior Member of the American Society for Quality.Lochana Palayangoda is an Assistant Professor in the Department of Mathematical and Statistical Sciences at the University of Nebraska Omaha. Before joining academia, he worked as an R&D Senior Data Scientist at PepsiCo, Inc., a  visiting scholar at the Lighting Research Center at Rensselaer Polytechnic Institute, and as an Electrical Engineer in Sri Lanka. He is also a research member of the Nebraska Education Policy Research Lab. His research interests include degradation data modeling, synthetic data generation, sports statistics, and education data analysis.

• Chapter 1 Introduction and Preliminaries.- Chapter 2 Linear Univariate Degradation Data.- Chapter 3 Nonlinear Univariate Degradation Data.- Chapter 4 Bivariate Degradation Data.- Chapter 5 Accelerated Degradation Testing.- Chapter 6 Optimal Designs of Degradation Test.- Chapter 7 Random Effect Models for Degradation Test Data.- Chapter 8 Goodness-of-Fit Test Procedures for Degradation Data.

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 the International Statistical Institute, a Fellow of the American Statistical Association, and a Senior Member of the American Society for Quality.Lochana Palayangoda is an Assistant Professor in the Department of Mathematical and Statistical Sciences at the University of Nebraska Omaha. Before joining academia, he worked as an R&D Senior Data Scientist at PepsiCo, Inc., a  visiting scholar at the Lighting Research Center at Rensselaer Polytechnic Institute, and as an Electrical Engineer in Sri Lanka. He is also a research member of the Nebraska Education Policy Research Lab. His research interests include degradation data modeling, synthetic data generation, sports statistics, and education data analysis.

• Chapter 1 Introduction and Preliminaries.- Chapter 2 Linear Univariate Degradation Data.- Chapter 3 Nonlinear Univariate Degradation Data.- Chapter 4 Bivariate Degradation Data.- Chapter 5 Accelerated Degradation Testing.- Chapter 6 Optimal Designs of Degradation Test.- Chapter 7 Random Effect Models for Degradation Test Data.- Chapter 8 Goodness-of-Fit Test Procedures for Degradation Data.

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 the International Statistical Institute, a Fellow of the American Statistical Association, and a Senior Member of the American Society for Quality.Lochana Palayangoda is an Assistant Professor in the Department of Mathematical and Statistical Sciences at the University of Nebraska Omaha. Before joining academia, he worked as an R&D Senior Data Scientist at PepsiCo, Inc., a  visiting scholar at the Lighting Research Center at Rensselaer Polytechnic Institute, and as an Electrical Engineer in Sri Lanka. He is also a research member of the Nebraska Education Policy Research Lab. His research interests include degradation data modeling, synthetic data generation, sports statistics, and education data analysis.

• Chapter 1 Introduction and Preliminaries.- Chapter 2 Linear Univariate Degradation Data.- Chapter 3 Nonlinear Univariate Degradation Data.- Chapter 4 Bivariate Degradation Data.- Chapter 5 Accelerated Degradation Testing.- Chapter 6 Optimal Designs of Degradation Test.- Chapter 7 Random Effect Models for Degradation Test Data.- Chapter 8 Goodness-of-Fit Test Procedures for Degradation Data.