This book presents twenty-four carefully edited chapters providing an up-to-date survey of new models and methods for reliability analysis and applications in science, engineering, and technology. The chapters contain broad coverage of relevant statistical methods, probabilistic methods, and new innovative techniques. Written in an accessible style, they employ many tables, data sets, and graphs to convey a clear and practical perspective for the methods. Statistical and Probabilistic Models in Reliability is an essential resource for researchers, practitioners, and professionals in industrial statistics, applied probability, reliability engineering, and risk analysis.