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Bayesian Methods for Structural Dynamics and Civil Engineering.

Bayesian methods are a powerful tool in many areas of science and engineering, especially statistical physics, medical sciences, electrical engineering, and information sciences. They are also ideal for civil engineering applications, given the numerous types of modeling and parametric uncertainty i...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Yuen, Ka-Veng
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken : John Wiley & Sons, 2010.
Temas:
Acceso en línea:Texto completo

MARC

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505 0 |a BAYESIAN METHODS FOR STRUCTURAL DYNAMICS AND CIVIL ENGINEERING; Contents; Preface; Acknowledgements; Nomenclature; 1 Introduction; 2 Basic Concepts and Bayesian Probabilistic Framework; 3 Bayesian Spectral Density Approach; 4 Bayesian Time-domain Approach; 5 Model Updating Using EigenvalueEigenvector Measurements; 6 Bayesian Model Class Selection; Appendix A: Relationship between the Hessian and Covariance Matrix for Gaussian Random Variables; Appendix B: Contours of Marginal PDFs for Gaussian Random Variables; Appendix C: Conditional PDF for Prediction; References; Index. 
520 |a Bayesian methods are a powerful tool in many areas of science and engineering, especially statistical physics, medical sciences, electrical engineering, and information sciences. They are also ideal for civil engineering applications, given the numerous types of modeling and parametric uncertainty in civil engineering problems. For example, earthquake ground motion cannot be predetermined at the structural design stage. Complete wind pressure profiles are difficult to measure under operating conditions. Material properties can be difficult to determine to a very precise level €" especially co. 
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650 7 |a Engineering  |x Statistical methods  |2 fast 
650 7 |a Structural engineering  |x Mathematics  |2 fast 
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