Following an introduction to the topic, subsequent chapters explore key systems and models including Unrecoverable objects and recoverable systems Methods of direct enumeration Markov models and heuristic models Performance effectiveness Time redundancy System survivability Aging units and their related systems Multistate systems Detailed case studies illustrate the relevance of the discussed methods to real-world technical projects including software failure avalanches, gas pipelines with underground storage, and intercontinental ballistic missile ICBM control systems
Numerical examples and detailed explanations accompany each topic, and exercises throughout allow readers to test their comprehension of the presented material
Probabilistic Reliability Models is an excellent book for statistics, engineering, and operations research courses on applied probability at the upper-undergraduate and graduate levels
The author supplies engineers with a deeper understanding of mathematical models while also equipping mathematically oriented readers with a fundamental knowledge of the engineeringrelated applications at the center of model building
The book is also a valuable reference for professionals and researchers working in industry who would like a mathematical review of reliability models and the relevant applications.
The book showcases the use of probability theory and mathematical statistics to solve common, real-world reliability problems