M. Nikulin / N. Limnios

Recent Advances in Reliability Theory

Methodology, Practice and Inference
Herausgegeben von Limnios, N.; Nikulin, M.

• Gebundenes Buch

Produktbeschreibung

This book presents thirty-one extensive and carefully edited chapters providing an up-to-date survey of new models and methods for reliability analysis and applications in science, engineering, and technology. The chapters contain broad coverage of the latest developments and innovative techniques in a wide range of theoretical and numerical issues in the field of statistical and probabilistic methods in reliability.

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Produktdetails

• Statistics for Industry and Technology .
• Verlag: Birkhäuser Basel / Springer, Basel
• 2000.
• Seitenzahl: 544
• Erscheinungstermin: 22. Juni 2000
• Englisch
• Abmessung: 260mm x 183mm x 35mm
• Gewicht: 1100g
• ISBN-13: 9780817641351
• ISBN-10: 0817641351
• Artikelnr.: 21422100

Inhaltsangabe

General Approach; Reliability: Past, Present and Future; Reliability
Analysis as a Tool for Expressing and Communicating Uncertainty; II
Probability Models and Related Issues; Modeling a Process of Non-Ideal
Repair; Some Models and Mathematical Results for Reliability of
Systems of Components; Algorithms of Stochastic Activity and Problems
of Reliability; Some Shifted Stochastic Orders; Characterization of
Distributions in Reliability; III Asymptotic Analysis; Asymptotic
Analysis of Reliability for Switching Systems in Light and Heavy
Traffic Conditions; Nonlinearly Perturbed Markov Chains and Large
Deviations for Lifetime Functionals; Evolutionary Systems in an
Asymptotic Split Phase Space; On Asymptotic Approach to Multistate
Systems Reliability Evaluation; IV Statistical Models and Data
Analysis; Computer Intensive Methods Based on Resampling in Analysis
of Reliability and Survival Data; Statistical Analysis of Damage
Processes; Data Analysis Based on Warranty Database; Failure Models
Indexed by Time and Usage; A new multiple Proof Loads Approach for
Estimating Correlations; Conditional and Partial Correlation for
Graphical Uncertainty Models; V Common Methods to Reliability and