Monograph, the 1st edition, World Scientific, London, 2005, pg.427
This volume is published on the occasion of the fourth International Conference on Mathematical Methods in Reliability (MMR 2004). A broad overview of current research activities in reliability theory and its applications is provided with coverage on reliability modeling, network and system reliability, Bayesian methods, survival analysis, degradation and maintenance modeling, and software reliability.
CONTENTS:
Competing risk modeling in reliability
Game-theoretic and reliability methods in counter-terrorism and security
Regression models for reliability given the usage accumulation history
Bayesian methods for assessing system reliability - Models and computation
Dynamic modeling in reliability and survival analysis
End of life analysis
Reliability analysis of a dynamic phased mission system - Comparison of two approaches
Sensitivity analysis of accelerated life tests with competing failure modes
Estimating mean cumulative functions from truncated automotive warranty data
Tests for some statistical hypotheses for dependent competing risks
Repair efficiency estimation in the ARI1 imperfect repair model
On repairable components with continuous output
Effects of uncertainties in components on the survival of complex systems with given dependencies
Dynamic management of systems undergoing evolutionary acquisition
Reliability analysis of renewable redundant systems with unreliable monitoring and switching
Planning models for component-based software offerings under uncertain operational profiles
Destructive stockpile reliability assessments - Semiparametric estimation of errors in variables with validation sample approach
Flowgraph models for complex multistate system reliability
Interpretation of condition monitoring data
Nonproportional semiparametric regression models for censored data
Binary representations of multi-state systems
Distribution-free continuous Bayesian belief nets
Statistical modeling and inference for component failure times under preventive maintenance and independent censoring
Importance sampling for dynamic systems
Leveraging remote diagnostics data for predictive maintenance
From artificial intelligence to dependability - Modeling and analysis with Bayesian networks
Reliability computation for usage-based testing
K-mart stochastic modeling using iterated total time on test transforms