Content:
Chapter 1 Methods of Solutions of Inhomogeneous Continuous Time Markov Chains for Degradation Process Modeling (pages 3–16): Yan‐Fu Li, Enrico Zio and Yan‐Hui Lin
Chapter 2 Multistate Degradation and Condition Monitoring for Devices with Multiple Independent Failure Modes (pages 17–31): Ramin Moghaddass and Ming J. Zuo
Chapter 3 Time Series Regression with Exponential Errors for Accelerated Testing and Degradation Tracking (pages 32–42): Nozer D. Singpurwalla
Chapter 4 Inverse Lz‐Transform for a Discrete‐State Continuous‐Time Markov Process and Its Application to Multi‐State System Reliability Analysis (pages 43–58): Anatoly Lisnianski and Yi Ding
Chapter 5 On the Lz‐Transform Application for Availability Assessment of an Aging Multi‐State Water Cooling System for Medical Equipment (pages 59–77): Ilia Frenke, Anatoly Lisnianski and Lev Khvatskin
Chapter 6 Combined Clustering and Lz‐Transform Technique to Reduce the Computational Complexity of a Multi‐State System Reliability Evaluation (pages 78–86): Yi Ding
Chapter 7 Sliding Window Systems with Gaps (pages 87–97): Gregory Levitin
Chapter 8 Development of Reliability Measures Motivated by Fuzzy Sets for Systems with Multior Infinite‐States (pages 98–118): Zhaojun (Steven) Li and Kailash C. Kapur
Chapter 9 Imperatives for Performability Design in the Twenty‐First Century (pages 119–131): Krishna B. Misra
Chapter 10 Network Reliability Calculations Based on Structural Invariants (pages 135–149): Ilya B. Gertsbakh and Yoseph Shpungin
Chapter 11 Performance and Availability Evaluation of IMS‐Based Core Networks (pages 148–166): Kishor S. Trivedi, Fabio Postiglione and Xiaoyan Yin
Chapter 12 Reliability and Probability of First Occurred Failure for Discrete‐Time Semi‐Markov Systems (pages 167–179): Stylianos Georgiadis, Nikolaos Limnios and Irene Votsi
Chapter 13 Single‐Source Epidemic Process in a System of Two Interconnected Networks (pages 180–190): Ilya B. Gertsbakh and Yoseph Shpungin
Chapter 14 Comparisons of Periodic and Random Replacement Policies (pages 193–206): Xufeng Zhao and Toshio Nakagawa
Chapter 15 Random Evolution of Degradation and Occurrences of Words in Random Sequences of Letters (pages 205–217): Emilio De Santis and Fabio Spizzichino
Chapter 16 Occupancy Times for Markov and Semi‐Markov Models in Systems Reliability (pages 218–230): Alan G. Hawkes, Lirong Cui and Shijia Du
Chapter 17 A Practice of Imperfect Maintenance Model Selection for Diesel Engines (pages 231–245): Yu Liu, Hong‐Zhong Huang, Shun‐Peng Zhu and Yan‐Feng Li
Chapter 18 Reliability of Warm Standby Systems with Imperfect Fault Coverage (pages 246–255): Rui Peng, Ola Tannous, Liudong Xing and Min Xie
Chapter 19 On the Validity of the Weibull‐Gnedenko Model (pages 259–274): Vilijandas Bagdonavičius, Mikhail Nikulin and Ruta Levuliene
Chapter 20 Statistical Inference for Heavy‐Tailed Distributions in Reliability Systems (pages 273–289): Ilia Vonta and Alex Karagrigoriou
Chapter 21 Robust Inference based on Divergences in Reliability Systems (pages 290–307): Abhik Ghosh, Avijit Maji and Ayanendranath Basu
Chapter 22 COM‐Poisson Cure Rate Models and Associated Likelihood‐based Inference with Exponential and Weibull Lifetimes (pages 308–348): N. Balakrishnan and Suvra Pal
Chapter 23 Exponential Expansions for Perturbed Discrete Time Renewal Equations (pages 349–362): Dmitrii Silvestrov and Mikael Petersson
Chapter 24 On Generalized Extreme Shock Models under Renewal Shock Processes (pages 363–374): Ji Hwan Cha and Maxim Finkelstein
Chapter 25 Systemability Theory and its Applications (pages 377–388): Hoang Pham
Chapter 26 Physics‐of‐Failure based Reliability Engineering (pages 389–402): Pedro O. Quintero and Michael Pecht
Chapter 27 Accelerated Testing: Effect of Variance in Field Environmental Conditions on the Demonstrated Reliability (pages 403–408): Andre Kleyner