Risk and reliability analysis : a handbook for civil and environmental engineers /

"The consideration of the risk involved in any situation, project, or plan becomes an integral part of the decision-making process. Risk and Reliability Analysis: A Handbook for Civil and Environmental Engineers presents key concepts of risk and reliability that apply to a wide array of problem...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Singh, V. P. (Vijay P.)
Otros Autores: Jain, S. K. (Sharad Kumar), 1960-, Tyagi, Aditya K.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Reston, VA : American Society of Civil Engineers, ©2007.
Temas:
Engineering > Management > Handbooks, manuals, etc.
Reliability (Engineering) > Handbooks, manuals, etc.
Risk assessment > Handbooks, manuals, etc.
Risk assessment > Mathematics.
Reliability (Engineering) > Mathematics.
Distribution (Probability theory)
Stochastic processes.
Engineering > Statistical methods.
Stochastic Processes
Évaluation du risque > Mathématiques.
Fiabilité > Mathématiques.
Distribution (Théorie des probabilités)
Processus stochastiques.
Ingénierie > Méthodes statistiques.
Ingénierie > Gestion > Guides, manuels, etc.
Fiabilité > Guides, manuels, etc.
Évaluation du risque > Guides, manuels, etc.
distribution (statistics-related concept)
TECHNOLOGY & ENGINEERING > Quality Control.
Stochastic processes
Reliability (Engineering) > Mathematics
Engineering > Statistical methods
Engineering > Management
Reliability (Engineering)
Risk assessment
Handbooks and manuals
Acceso en línea:Texto completo
Tabla de Contenidos:
  • pt. I. Preliminaries
  • Ch. 1. Rational Decision Making Under Uncertainty
  • Ch. 2. Elements of Probability
  • Ch. 3. Moments and Expectation
  • pt. II. Probability Distributions and Parameter Estimation
  • Ch. 4. Discrete and Continuous Probability Distributions
  • Ch. 5. Limit and Other Distributions
  • Ch. 6. Impulse Response Functions as Probability Distributions
  • Ch. 7. Multivariate Probability Distributions
  • Ch. 8. Parameter Estimation
  • Ch. 9. Entropy Theory and Its Applications in Risk Analysis
  • pt. III. Uncertainty Analysis
  • Ch. 10. Error and Uncertainty Analysis
  • Ch. 11. Monte Carlo Simulation
  • Ch. 12. Stochastic Processes
  • Ch. 13. Stochastic Differential Equations.

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