Overview
- Offers the profile of reliability as a science in line with Gnedenko’s work
- Provides a new approach to key problems emerging in engineering, insurance, biology and even philosophy
- Stimulates new theoretical and empirical research efforts in the reliability domain
- Includes supplementary material: sn.pub/extras
- Includes supplementary material: sn.pub/extras
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Table of contents (10 chapters)
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Front Matter
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Reparable Systems
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Front Matter
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Overall Conclusion
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Front Matter
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Back Matter
Keywords
About this book
This work illustrates research conducted over a ten-year timespan and addresses a fundamental issue in reliability theory. This still appears to be an empirically disorganized field and the book suggests employing a deductive base in order to evolve reliability as a science. The study is in line with the fundamental work by Gnedenko.
Boris Vladimirovich Gnedenko (1912 – 1995) was a Soviet mathematician who made significant contributions in various scientific areas. His name is especially associated with studies of dependability, for which he is often recognized as the 'father' of reliability theory. In the last few decades, this area has expanded in new directions such as safety, security, risk analysis and other fields, yet the book ‘Mathematical Methods in Reliability Theory’ written by Gnedenko with Alexander Soloviev and Yuri Bélyaev still towers as a pillar of the reliability sector’s configuration and identity.
The present book proceeds in the direction opened by the cultural project of the Russian authors; in particular it identifies different trends in the hazard rate functions by means of deductive logic and demonstrations. Further, it arrives at multiple results by means of the entropy function, an original mathematical tool in the reliability domain. As such, it will greatly benefit all specialists in the field who are interested in unconventional solutions.
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Bibliographic Information
Book Title: Reliability is a New Science
Book Subtitle: Gnedenko Was Right
Authors: Paolo Rocchi
DOI: https://doi.org/10.1007/978-3-319-57472-1
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-57471-4Published: 24 July 2017
Softcover ISBN: 978-3-319-86171-5Published: 02 August 2018
eBook ISBN: 978-3-319-57472-1Published: 13 July 2017
Edition Number: 1
Number of Pages: XV, 152
Number of Illustrations: 50 b/w illustrations
Topics: Mathematical Modeling and Industrial Mathematics, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Quality Control, Reliability, Safety and Risk, Insurance