Editors:
- 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
Part of the book series: ICSA Book Series in Statistics (ICSABSS)
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (17 chapters)
-
Front Matter
-
Review and Theoretical Framework
-
Front Matter
-
-
Applications
-
Front Matter
-
About this book
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.
Editors and Affiliations
-
School of Social Work & Department of Biostatistics, Department of Statistics, University of North Carolina, University of Pretoria, Chapel Hill, USA
Ding-Geng (Din) Chen
-
Department of Mathematical Sciences, University of South Dakota, Vermillion, USA
Yuhlong Lio
-
Department of Statistical Science, Southern Methodist University, Dallas, USA
Hon Keung Tony Ng
-
Department of Statistics, Tamkang University, New Taipei City, Taiwan
Tzong-Ru Tsai
About the editors
Professor Lio is a professor at the University of South Dakota
. Â He has been invited nationally and internationally to give speeches on his research, and has produced more than 70 peer-reviewed professional publications in the areas of survival analysis, computational statistics and industrial statistics (including quality control, life test, degradation modeling, etc.) Â
Professor Ng is a professor at the Department of Statistical Science, Southern Methodist University, Dallas, Texas, USA. He is currently an Associate Editor of Communications in Statistics, Computational Statistics, Journal of Statistical Computation and Simulation, and Statistics and Probability Letters. Professor Ng has more than 100 peer-reviewed professional publications to his credit, and has co-authored and co-edited two books in the areas of nonparametric methods, ordered data analysis, reliability, censoring methodology, and statistical inference. Professor Ng is an elected member of the International Statistical Institut
e and an elected senior member of the Institute of Electrical and Electronics Engineers (IEEE). Â
Professor Tsai is a professor at the Department of Statistics at Tamkang University. His main research interests include quality control and reliability analysis. He previously served as a consultant for electronics companies and research institutes in Taiwan, and he has written more than 60 peer-reviewed professional publications in the areas of quality control and reliability applications.Â
Bibliographic Information
Book Title: Statistical Modeling for Degradation Data
Editors: Ding-Geng (Din) Chen, Yuhlong Lio, Hon Keung Tony Ng, Tzong-Ru Tsai
Series Title: ICSA Book Series in Statistics
DOI: https://doi.org/10.1007/978-981-10-5194-4
Publisher: Springer Singapore
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2017
Hardcover ISBN: 978-981-10-5193-7Published: 14 September 2017
Softcover ISBN: 978-981-13-5340-6Published: 12 December 2018
eBook ISBN: 978-981-10-5194-4Published: 31 August 2017
Series ISSN: 2199-0980
Series E-ISSN: 2199-0999
Edition Number: 1
Number of Pages: XVIII, 376
Number of Illustrations: 42 b/w illustrations, 67 illustrations in colour
Topics: Statistical Theory and Methods, Statistics for Business, Management, Economics, Finance, Insurance