TY  - BOOK
AU  - 
ED  - SpringerLink (Online service)
TI  - Stochastic Processes: with Applications to Reliability Theory 
T2  - Springer Series in Reliability Engineering,
SN  - 9780857292742
AV  - TA169.7 
U1  - 658.56 23
PY  - 2011///
CY  - London
PB  - Springer London
KW  - Engineering
KW  - Distribution (Probability theory)
KW  - System safety
KW  - Quality Control, Reliability, Safety and Risk
KW  - Probability Theory and Stochastic Processes
KW  - Operations Research/Decision Theory
N1  - 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 LȨvy Processes -- 8. Redundant Systems; ZDB-2-ENG
N2  - 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
UR  - http://dx.doi.org/10.1007/978-0-85729-274-2
ER  -