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Stochastic Processes (Record no. 10030)

000 -LEADER
fixed length control field 02753nam a22004215i 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140310143330.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 110527s2011 xxk| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780857292742
978-0-85729-274-2
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 658.56
Edition number 23
264 #1 -
-- London :
-- Springer London,
-- 2011.
912 ## -
-- ZDB-2-ENG
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Nakagawa, Toshio.
Relator term author.
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE
Title Stochastic Processes
Medium [electronic resource] :
Remainder of title with Applications to Reliability Theory /
Statement of responsibility, etc by Toshio Nakagawa.
300 ## - PHYSICAL DESCRIPTION
Extent X, 254 p.
Other physical details online resource.
440 1# - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Springer Series in Reliability Engineering,
International Standard Serial Number 1614-7839
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 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.
520 ## - SUMMARY, ETC.
Summary, etc 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. 
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Engineering.
Topical term or geographic name as entry element Distribution (Probability theory).
Topical term or geographic name as entry element System safety.
Topical term or geographic name as entry element Engineering.
Topical term or geographic name as entry element Quality Control, Reliability, Safety and Risk.
Topical term or geographic name as entry element Probability Theory and Stochastic Processes.
Topical term or geographic name as entry element Operations Research/Decision Theory.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9780857292735
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-0-85729-274-2
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type E-Book
Copies
Price effective from Permanent location Date last seen Not for loan Date acquired Source of classification or shelving scheme Koha item type Damaged status Lost status Withdrawn status Current location Full call number
2014-03-27AUM Main Library2014-03-27 2014-03-27 E-Book   AUM Main Library658.56

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