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Mathematical methods in engineering are characterized by a wide range of techniques for approaching various problems. Moreover, completely different analysis techniques can be applied to the same problem, which is justified by the difference in specific applications....
This book extends the theory and applications of random evolutions to semi-Markov random media in discrete time, essentially focusing on semi-Markov chains as switching or driving processes. After giving the definitions of discrete-time semi-Markov chains and random...
The aim of this book is to reflect the current cutting-edge thinking and established practices in the investigation of queueing systems and networks. This second volume includes eight chapters written by experts wellknown in their areas.The book conducts a stability...
The aim of this book is to reflect the current cutting-edge thinking and established practices in the investigation of queueing systems and networks. This first volume includes ten chapters written by experts well-known in their areas.The book studies the analysis of...
The study of earthquakes is a multidisciplinary field, an amalgam of geodynamics, mathematics, engineering and more.The overriding commonality between them all is the presence of natural randomness. Stochastic studies (probability, stochastic processes and statistics)...
Earthquake occurrence modeling is a rapidly developing research area. This book deals with its critical issues, ranging from theoretical advances to practical applications. The introductory chapter outlines state-of-the-art earthquake modeling approaches based on...
Fault tree analysis is an important technique in determining the safety and dependability of complex systems.Fault trees are used as a major tool in the study of system safety as well as in reliability and availability studies. The basic methods – construction, logical...
This book provides a pedagogical examination of the way in which stochastic models are encountered in applied sciences and techniques such as physics, engineering, biology and genetics, economics and social sciences. It covers Markov and semi-Markov models, as well as...
Reliability and survival analysis are important applications of stochastic mathematics (probability, statistics and stochastic processes) that are usually covered separately in spite of the similarity of the involved mathematical theory. This title aims to redress this...
Nonparametric statistics has probably become the leading methodology for researchers performing data analysis. It is nevertheless true that, whereas these methods have already proved highly effective in other applied areas of knowledge such as biostatistics or social...
Ce titre traite à la fois des méthodes de base de mise en œuvre des arbres de défaillance, des extensions concernant les arbres de défaillances non cohérents, à délais, etc, des algorithmes classiques ou plus récents récursifs et les techniques de tron
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