Authors:
- Covers contemporary results on the main topics of renewal theory
- Presents all results in a detailed and consistent manner, thus providing a step-by-step introduction to renewal theory
- Includes new applications as well as a special section on multivariate renewal theory and renewal reward processes
- Includes supplementary material: sn.pub/extras
Part of the book series: SpringerBriefs in Statistics (BRIEFSSTATIST)
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 (3 chapters)
-
Front Matter
-
Back Matter
About this book
Authors and Affiliations
-
Aviation Faculty, National Military University "Vasil Levski", Dolna Mitropolia, Bulgaria
Kosto V. Mitov
-
Faculty of Economics and Business, KU Leuven, Brussels, Belgium
Edward Omey
About the authors
Kosto V. Mitov is a Professor at the Aviation Faculty of the National Military University “Vasil Levski”, Bulgaria. He gives courses in probability theory and applied mathematics and his research interests include the theory of branching processes and renewal theory. He has published many research papers on branching stochastic processes, renewal processes, extreme value theory and distribution theory.
Edward Omey is a Professor at the Faculty of Economics and Business of the KU Leuven – Campus Brussels. He gives courses in statistics and econometrics and his research interests include regular variation and its applications in probability theory. He has published many research papers on renewal theory and extreme value theory, and also several didactical papers on specific topics in mathematics and probability.
Bibliographic Information
Book Title: Renewal Processes
Authors: Kosto V. Mitov, Edward Omey
Series Title: SpringerBriefs in Statistics
DOI: https://doi.org/10.1007/978-3-319-05855-9
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Author(s) 2014
Softcover ISBN: 978-3-319-05854-2Published: 06 May 2014
eBook ISBN: 978-3-319-05855-9Published: 23 April 2014
Series ISSN: 2191-544X
Series E-ISSN: 2191-5458
Edition Number: 1
Number of Pages: VIII, 122
Number of Illustrations: 1 b/w illustrations
Topics: Probability Theory and Stochastic Processes, Statistical Theory and Methods
Industry Sectors: Aerospace, Biotechnology, Consumer Packaged Goods, Electronics, Energy, Utilities & Environment, Finance, Business & Banking, IT & Software, Pharma, Telecommunications