Statistical Modeling for Degradation Data
Business & Finance, Economics, Statistics, Nonfiction, Science & Nature, Mathematics
| Author: | ISBN: | 9789811051944 | |
| Publisher: | Springer Singapore | Publication: | August 31, 2017 |
| Imprint: | Springer | Language: | English |
| Author: | |
| ISBN: | 9789811051944 |
| Publisher: | Springer Singapore |
| Publication: | August 31, 2017 |
| Imprint: | Springer |
| Language: | English |
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.
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.
