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Recent Advances in System Reliability

Signatures, Multi-state Systems and Statistical Inference

Anatoly Lisnianski

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Hardback
02 October 2011
$357.00
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1. Signature Representation and Preservation Results for Engineered Systems and Applications to Statistical Inference.- 2. Using D-Spectra in Network Monte Carlo: Estimation of System Reliability and Component Importance.- 3. Signatures and Symmetry Properties of Coherent Systems.- 4. Multidimensional Spectra of Multistate Systems with Binary Components.- 5. Applications of Samaniego Signatures to Bounds on Variances of Coherent and Mixed System Lifetimes.- 6. Lz-Transform for a Discrete-state Continuous-Time Markov Process and Its Applications to Multi-state System Reliability.- 7. Reliability Decisions for Supermarket Refrigeration System by Using Combined Stochastic Process and Universal Generating Function Method: Case Study.- 8. Importance Analysis of a Multi-State System Based on Multiple-Valued Logic Methods.- 9. Optimal Replacement and Protection Strategy for Parallel Systems.- 10. Heuristic Optimization Techniques for Determining Optimal Reserve Structure of Power Generating Systems.- 11. Determination of Vital Activities in Reliability Program for Multi-state System by Using House of Reliability.- 12. Multi-State Availability Modeling in Practice.- 13. Reliability Analysis of Redundant Systems with Unimodal Hazard Rate Functions.- 14. Multiobjective Reliability Allocation in Multi-state Systems: Decision Making by Visualization and Analysis of Pareto Fronts and Sets.- 15. Optimal Incomplete Maintenance in Multi-state Systems.- 16. Nonparametric Estimation of Marginal Temporal Functionals in a Multi-state Model.- 17. Frailty or Transformation Models in Survival Analysis and Reliability.- 18. Goodness of Fit Tests for Reliability Modeling.- 19. On the Markov Three-state Progressive Model.- 20. Multi-State Semi-Markov Model of the Operation Reliability.- 21. Reliability of Continuous-State Systems in View of Heavy-Tailed Distributed Performance Features.- 22. On Optimal Control of Systems on Their Life Time.

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$357.00
Ships in 5–7 business days
Hurry up! Current stock:

Recent Advances in System Reliability

$357.00

Description

1. Signature Representation and Preservation Results for Engineered Systems and Applications to Statistical Inference.- 2. Using D-Spectra in Network Monte Carlo: Estimation of System Reliability and Component Importance.- 3. Signatures and Symmetry Properties of Coherent Systems.- 4. Multidimensional Spectra of Multistate Systems with Binary Components.- 5. Applications of Samaniego Signatures to Bounds on Variances of Coherent and Mixed System Lifetimes.- 6. Lz-Transform for a Discrete-state Continuous-Time Markov Process and Its Applications to Multi-state System Reliability.- 7. Reliability Decisions for Supermarket Refrigeration System by Using Combined Stochastic Process and Universal Generating Function Method: Case Study.- 8. Importance Analysis of a Multi-State System Based on Multiple-Valued Logic Methods.- 9. Optimal Replacement and Protection Strategy for Parallel Systems.- 10. Heuristic Optimization Techniques for Determining Optimal Reserve Structure of Power Generating Systems.- 11. Determination of Vital Activities in Reliability Program for Multi-state System by Using House of Reliability.- 12. Multi-State Availability Modeling in Practice.- 13. Reliability Analysis of Redundant Systems with Unimodal Hazard Rate Functions.- 14. Multiobjective Reliability Allocation in Multi-state Systems: Decision Making by Visualization and Analysis of Pareto Fronts and Sets.- 15. Optimal Incomplete Maintenance in Multi-state Systems.- 16. Nonparametric Estimation of Marginal Temporal Functionals in a Multi-state Model.- 17. Frailty or Transformation Models in Survival Analysis and Reliability.- 18. Goodness of Fit Tests for Reliability Modeling.- 19. On the Markov Three-state Progressive Model.- 20. Multi-State Semi-Markov Model of the Operation Reliability.- 21. Reliability of Continuous-State Systems in View of Heavy-Tailed Distributed Performance Features.- 22. On Optimal Control of Systems on Their Life Time.

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