Overview
- Provides a systematic study of the failure rate and related indices
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Series in Reliability Engineering (RELIABILITY)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (10 chapters)
Keywords
About this book
“Failure Rate Modeling for Reliability and Risk” focuses on reliability theory, and to the failure rate (hazard rate, force of mortality) modeling and its generalizations to systems operating in a random environment and to repairable systems. The failure rate is one of the crucial probabilistic characteristics for a number of disciplines; including reliability, survival analysis, risk analysis and demography. The book presents a systematic study of the failure rate and related indices, and covers a number of important applications where the failure rate plays the major role. Applications in engineering systems are studied, together with some actuarial, biological and demographic examples. The book provides a survey of this broad and interdisciplinary subject which will be invaluable to researchers and advanced students in reliability engineering and applied statistics, as well as to demographers, econometricians, actuaries and many other mathematically oriented researchers.
Authors and Affiliations
About the author
Dr Maxim Finkelstein is a Professor at the Department of Mathematical Statistics, University of the Free State, Republic of South Africa and a visiting researcher at the Max Planck Institute for Demographic Research, Rostock, Germany. His main research interests are; reliability, survival analysis, risk and safety modeling, applied stochastic processes, stochastic aging, stochastic ordering, and stochastics in demography.
Bibliographic Information
Book Title: Failure Rate Modelling for Reliability and Risk
Authors: Maxim Finkelstein
Series Title: Springer Series in Reliability Engineering
DOI: https://doi.org/10.1007/978-1-84800-986-8
Publisher: Springer London
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag London 2008
Hardcover ISBN: 978-1-84800-985-1Published: 01 December 2008
Softcover ISBN: 978-1-84996-810-2Published: 28 October 2010
eBook ISBN: 978-1-84800-986-8Published: 07 November 2008
Series ISSN: 1614-7839
Series E-ISSN: 2196-999X
Edition Number: 1
Number of Pages: XII, 290
Topics: Quality Control, Reliability, Safety and Risk, Probability Theory and Stochastic Processes, Computational Intelligence, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences