Nonlinear regression modeling for engineering applications : modeling, model validation, and enabling design of experiments /

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With a focus on practical applications, with relevant methods supported by fundamental analysis, this book details methods of nonlinear regression, computational algorithms, model validation, interpretation of residuals, and useful experimental design. --

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Rhinehart, R. Russell, 1946- (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Chichester, UK ; Hoboken, NJ : John Wiley & Sons, 2016.
Temas:
Regression analysis > Mathematical models.
Engineering > Mathematical models.
Ingénierie > Modèles mathématiques.
TECHNOLOGY & ENGINEERING > Engineering (General)
TECHNOLOGY & ENGINEERING > Reference.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 1 Introductory Concepts
  • 2 Model Types
  • 3 Propagation of Uncertainty
  • 4 Essential Probability and Statistics
  • 5 Simulation
  • 6 Steady and Transient State Detection
  • 7 Regression Target
  • Objective Function
  • 8 Constraints
  • 9 The Distortion of Linearizing Transforms
  • 10 Optimization Algorithms
  • 11 Multiple Optima
  • 12 Regression Convergence Criteria
  • 13 Model Design
  • Desired and Undesired Model Characteristics and Effects
  • 14 Data Pre- and Post-processing
  • 15 Incremental Model Adjustment
  • 16 Model and Experimental Validation
  • 17 Model Prediction Uncertainty
  • 18 Design of Experiments for Model Development and Validation
  • 19 Utility versus Perfection
  • 20 Troubleshooting
  • 21 Case Studies.

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