Stochastic Models in Reliability Stochastic Models in Reliability

Stochastic Models in Reliability

    • €87.99
    • €87.99

Publisher Description

This book  provides a comprehensive up-to-date presentation of some of the classical areas of reliability, based on a more advanced probabilistic framework using the modern theory of stochastic processes. This framework allows analysts to formulate general failure models, establish formulae for computing various performance measures, as well as determine how to identify optimal replacement policies in complex situations.

In this second edition of the book, two major topics have been added to the original version:  copula models which are used to study the effect of structural dependencies on the system reliability; and maintenance optimization which highlights delay time models under  safety constraints.

Terje Aven is Professor of Reliability and Risk Analysis  at University of Stavanger, Norway. Uwe Jensen is working as a Professor at the Institute of Applied Mathematics and Statistics of the University of Hohenheim in Stuttgart, Germany. 

Review of first edition:

"This is an excellent book on mathematical, statistical and stochastic models in reliability. The authors have done an excellent job of unifying some of the stochastic models in reliability. The book is a good reference book but may not be suitable as a textbook for students in professional fields such as engineering. This book may be used for graduate level seminar courses for students who have had at least the first course in stochastic processes and some knowledge of reliability mathematics. It should be a good reference book for researchers in reliability mathematics."

Mathematical Reviews (2000)

GENRE
Science & Nature
RELEASED
2013
4 August
LANGUAGE
EN
English
LENGTH
311
Pages
PUBLISHER
Springer New York
PROVIDER INFO
Springer Science & Business Media LLC
SIZE
5.7
MB
Dependence in Probability and Statistics Dependence in Probability and Statistics
2006
Matrix-Analytic Methods in Stochastic Models Matrix-Analytic Methods in Stochastic Models
2012
Basic Stochastic Processes Basic Stochastic Processes
2015
Statistical Topics and Stochastic Models for Dependent Data with Applications Statistical Topics and Stochastic Models for Dependent Data with Applications
2020
Statistical Inference for Piecewise-deterministic Markov Processes Statistical Inference for Piecewise-deterministic Markov Processes
2018
Queues and Lévy Fluctuation Theory Queues and Lévy Fluctuation Theory
2015
A History of Risk Science A History of Risk Science
2025
Risk Science Risk Science
2024
Decoding Black Swans and Other Historic Risk Events Decoding Black Swans and Other Historic Risk Events
2024
The Science of Risk Analysis The Science of Risk Analysis
2019
Enterprise Risk Management Enterprise Risk Management
2019
Knowledge in Risk Assessment and Management Knowledge in Risk Assessment and Management
2017