Authors:
- Comprehensively studies renewal processes in uncertainty theory and chance theory
- Addresses the applications of renewal processes in maintenance models and insurance risk models
- Provides in-depth treatments of three types of renewal processes
Part of the book series: Springer Uncertainty Research (SUR)
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Table of contents (6 chapters)
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Front Matter
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Back Matter
About this book
Reviews
“The book is self-contained and is suitable for researchers and students in the field of applied mathematics, operations research, engineering and management sciences. There is certainly a future for the research in uncertainty!” (Edward Omey, zbMATH 1448.60004, 2020)
Authors and Affiliations
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School of Economics and Management, University of Chinese Academy of Sciences, Beijing, China
Kai Yao
About the author
Bibliographic Information
Book Title: Uncertain Renewal Processes
Authors: Kai Yao
Series Title: Springer Uncertainty Research
DOI: https://doi.org/10.1007/978-981-13-9345-7
Publisher: Springer Singapore
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2019
Hardcover ISBN: 978-981-13-9344-0Published: 14 August 2019
Softcover ISBN: 978-981-13-9347-1Published: 15 August 2020
eBook ISBN: 978-981-13-9345-7Published: 31 July 2019
Series ISSN: 2199-3807
Series E-ISSN: 2199-3815
Edition Number: 1
Number of Pages: XIII, 156
Number of Illustrations: 1 b/w illustrations
Topics: Applications of Mathematics, Mathematical and Computational Engineering, Probability Theory and Stochastic Processes, Artificial Intelligence, Optimization