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Stochastic Processes de Toshio Nakagawa

Stochastic Processes: Springer Series in Reliability Engineering

Autor Toshio Nakagawa
en Limba Engleză Hardback – 29 mai 2011
Reliability theory is of fundamental importance for engineers and managers involved in the manufacture of high-quality products and the design of reliable systems. In order to make sense of the theory, however, and to apply it to real systems, an understanding of the basic stochastic processes is indispensable.
As well as providing readers with useful reliability studies and applications, Stochastic Processes also gives a basic treatment of such stochastic processes as:
  • the Poisson process,
  • the renewal process,
  • the Markov chain,
  • the Markov process, and
  • the Markov renewal process.
Many examples are cited from reliability models to show the reader how to apply stochastic processes. Furthermore, Stochastic Processes gives a simple introduction to other stochastic processes such as the cumulative process, the Wiener process, the Brownian motion and reliability applications.
Stochastic Processes is suitable for use as a reliability textbook by advanced undergraduate and graduate students. It is also of interest to researchers, engineers and managers who study or practise reliability and maintenance. 
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Specificații

ISBN-13: 9780857292735
ISBN-10: 0857292730
Pagini: 264
Ilustrații: X, 254 p.
Dimensiuni: 160 x 241 x 18 mm
Greutate: 0.51 kg
Ediția:2011
Editura: Springer
Colecția Springer Series in Reliability Engineering
Seria Springer Series in Reliability Engineering

Locul publicării:London, United Kingdom

Public țintă

Research

Cuprins

1. Introduction.- 2. Poisson Processes.- 3. Renewal Processes.- 4. Markov Chains.- 5. Semi-Markov and Markov Renewal Processes.- 6. Cumulative Processes.- 7. Brownian Motion and Lévy Processes.- 8. Redundant Systems.

Recenzii

From the book reviews:
“This book provides a fundamental description of the main stochastic processes of interest in reliability theory. It also addresses and solves several problems related to maintenance and redundancy. Teachers and students at the undergraduate or the graduate level will find it useful.” (Antonio Di Crescenzo, Mathematical Reviews, March, 2015)
“This book by Prof. Nakagawa bridges the gap between theoretical achievements in the field of stochastic processes and the need of researchers and practical engineers to use the theory in reliability investigations. … this book would be useful for researchers and teachers as well. … this book by Prof. Nakagawa is exactly what the reliability community (researchers, engineers, and industrial managers) has long been waiting for. … the book may also be used as a textbook for senior undergraduate or graduate courses … .” (Anatoly Lisnianski, SIAM Review, Vol. 54 (4), 2012)
“The addressed readership of this book is the reliability engineering community, especially engineers looking for a ‘book written in an easy style on stochastic processes to be able to understand readily reliability theory’. … book can serve as a first attempt to find needed facts in the area of stochastic processes … . there is also another audience for this book: teachers of courses in stochastic processes on an undergraduate or graduate level who want to include examples of applications of stochastic processes in reliability.” (Hans Daduna, Zentralblatt MATH, Vol. 1244, 2012)

Notă biografică

Kodo Ito received B.S. and M.S. degrees in Physics from Yamagata University, Japan, in 1983 and 1985, respectively, and D.E. degree from Aichi Institute of Technology, Japan, in 1999. He worked as Aircraft Engineer with Mitsubishi Heavy Industries, Ltd., Nagoya, Japan, for 32 years from 1985 to 2017. He is now Professor at Tottori University, Japan, and Visiting Professor at Fukushima University, Japan. His research interests are practical optimal operation and maintenance policies for large and complicated systems such as missile systems, radar systems, aircraft engine controllers, airframes, power plants, and social infrastructures. Toshio Nakagawa received B.S.E. and M.S. degrees from Nagoya Institute of Technology, Japan, in 1965 and 1967, respectively, and Doctor degree from Kyoto University, Japan, in 1977. He worked as Research Associate at Syracuse University for two years from 1972 to 1973. He is now Honorary Professor at Aichi Institute of Technology, Japan. His research interests are optimization problems in operations research and management science and analysis for stochastic and computer systems in reliability and maintenance theory. He has published 7 books from Springer and more than 300 papers in research journals.

Textul de pe ultima copertă

Reliability theory is of fundamental importance for engineers and managers involved in the manufacture of high-quality products and the design of reliable systems. In order to make sense of the theory, however, and to apply it to real systems, an understanding of the basic stochastic processes is indispensable.
As well as providing readers with useful reliability studies and applications, Stochastic Processes also gives a basic treatment of such stochastic processes as:
  • the Poisson process,
  • the renewal process,
  • the Markov chain,
  • the Markov process, and
  • the Markov renewal process.
Many examples are cited from reliability models to show the reader how to apply stochastic processes. Furthermore, Stochastic Processes gives a simple introduction to other stochastic processes such as the cumulative process, the Wiener process, the Brownian motion and reliability applications.
Stochastic Processes is suitable for use as a reliability textbook by advanced undergraduate and graduate students. It is also of interest to researchers, engineers and managers who study or practise reliability and maintenance. 

Caracteristici

Provides a basic treatment of stochastic processes Includes reliability studies and their applications Shows readers how to apply stochastic processes