Stochastic Processes - with Applications to Reliability Theory (Paperback, 2011 ed.)

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.

General

Imprint:	Springer London
Country of origin:	United Kingdom
Series:	Springer Series in Reliability Engineering
Release date:	July 2013
First published:	2011
Authors:	Toshio Nakagawa
Dimensions:	235 x 155 x 14mm (L x W x T)
Format:	Paperback
Pages:	254
Edition:	2011 ed.
ISBN-13:	978-1-4471-2661-4
Categories:	Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Science & Mathematics > Mathematics > Applied mathematics > Stochastics Books > Professional & Technical > Mechanical engineering & materials > Production engineering > Reliability engineering
LSN:	1-4471-2661-0
Barcode:	9781447126614

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