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 such as reliability, public health sciences, and finance. For example, information on products’ reliability can be obtained by analyzing degradation data. In addition, statistical modeling and inference techniques have been developed on the basis of different degradation measures.
The book brings together experts engaged in statistical modeling and inference, presenting and discussing important recent advances in degradation data analysis and related applications. The topics covered are timely and have considerable potential to impact both statistics and reliability engineering.
All authors are experts engaged in statistical modeling in degradation data analysis
Timely discussions of and presentations on methodological developments and real-world applications
Data and computer programs will be made publicly available, allowing readers to replicate the model development
Presents new, high-impact methods that are readily adoptable and extendable
All authors are experts engaged in statistical modeling in degradation data analysis Timely discussions of and presentations on methodological developments and real-world applications Data and computer programs will be made publicly available, allowing readers to replicate the model development Presents new, high-impact methods that are readily adoptable and extendable
Ding-Geng (Din) Chen
Statistical Models Degradation Models Reliability Models Accelerated Degradation Data Non-Destructive Destructive Degradation Tests