ENGLISH

Stochastic Processes: with Applications to Reliability Theory

By Toshio Nakagawa (auth.)

Book information

Publisher
Springer-Verlag London
Year
2011
ISBN
0857292730, 9780857292735
DOI
10.1007/978-0-85729-274-2
ISSN
1614-7839
Google Books ID
ytIFVkeqAWYC
Open Library ID
OL25163231M
Language
english
Format
PDF
Filesize
2 MB (1606794 bytes)
Series
Springer Series in Reliability Engineering
Edition
1
Pages
254\262
Orientation
yes
Scanned
no
Time added
2011-08-31 04:54:40
Quality ControlReliabilitySafety and Risk; Probability Theory and Stochastic

Description

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, andthe 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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