Editors:
- Real-world applications to survival analysis, aging, lifetime data analysis, artificial intelligence, medicine, carcinogenesis studies, nuclear power, financial modeling, aircraft engineering, quality control, and transportation
- Chapters are written by recognized experts in reliability
- For a broad audience of researchers and practitioners in applied probability and statistics and a variety of related fields
- Includes supplementary material: sn.pub/extras
Part of the book series: Statistics for Industry and Technology (SIT)
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Table of contents (33 chapters)
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Front Matter
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Reliability Models, Methods, and Optimization
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Front Matter
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Statistical Methods in Reliability
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Front Matter
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About this book
An outgrowth of the sixth conference on “Mathematical Methods in Reliability: Theory, Methods, and Applications,” this book is a selection of invited chapters, all of which deal with various aspects of mathematical and statistical models and methods in reliability.
Written by recognized experts in the field of reliability, the contributions cover a wide range of models, methods, and applications, reflecting recent developments in areas such as survival analysis, aging, lifetime data analysis, artificial intelligence, medicine, carcinogenesis studies, nuclear power, financial modeling, aircraft engineering, quality control, and transportation.
The volume is thematically organized into four major sections:
* Reliability Models, Methods, and Optimization;
* Statistical Methods in Reliability;
* Applications;
* Computer Tools for Reliability.
Mathematical and Statistical Models and Methods in Reliability is an excellent reference text for researchers and practitioners in applied probability and statistics, industrial statistics, engineering, medicine, finance, transportation, the oil and gas industry, and artificial intelligence.
Keywords
Editors and Affiliations
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Department of Applied Mathematics, Gubkin Russian State University of Oil a, Moskva, Russian Federation
V.V. Rykov
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McMaster University, Department of Mathematics and Statistics, Hamilton, Canada
N. Balakrishnan
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Université Victor Segalen Bordeaux 2, I’lnstitut de Mathématiques de Bordeaux, Bordeaux Cedex, France
M.S. Nikulin
Bibliographic Information
Book Title: Mathematical and Statistical Models and Methods in Reliability
Book Subtitle: Applications to Medicine, Finance, and Quality Control
Editors: V.V. Rykov, N. Balakrishnan, M.S. Nikulin
Series Title: Statistics for Industry and Technology
DOI: https://doi.org/10.1007/978-0-8176-4971-5
Publisher: Birkhäuser Boston, MA
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Science+Business Media, LLC 2010
Hardcover ISBN: 978-0-8176-4970-8Published: 10 November 2010
eBook ISBN: 978-0-8176-4971-5Published: 02 November 2010
Series ISSN: 2364-6241
Series E-ISSN: 2364-625X
Edition Number: 1
Number of Pages: XXVI, 457
Number of Illustrations: 74 b/w illustrations
Topics: Quality Control, Reliability, Safety and Risk, Statistical Theory and Methods, Applications of Mathematics, Statistics for Life Sciences, Medicine, Health Sciences, Probability Theory and Stochastic Processes, Mathematical Modeling and Industrial Mathematics