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Parameter Estimation for Complex Systems

H. T. Banks, Franz Kappel (Autoren)

Buch | Hardcover

448 Seiten

2023
Productivity Press (Verlag)
978-1-4987-4619-9 (ISBN)

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This book on parameter estimation addresses problems arising for comprehensive models of complex systems in various areas of application under data constraints. Paramater estimation is a branch of statistics that is used to estimate statistical results using data collected under set parameters with a random compenent. Here the authors present models demonstrating particular problems, proposed solutions and applications to illustrate addressing these problems.

Chapter 1: Introduction: Important problems encountered in modeling complex systems with data acquisition constraints.

Chapter 2: Formulations of the vector parameter estimation problems.

Chapter 3: Sensitivity Analysis

Chapter 4: Verification and Validation

Chapter 5: Aggregate Data – Aggregate model theory

Chapter 6: Model Discrepancy

Chapter 7: Identifiability, Parameter Redundancy, Methods for Parameter Correlation Investigation

Chapter 8: Information Content in Data Sets

Chapter 9: Optimal Experimental Design

Chapter 10: Generalized Sensitivities

Chapter 11: Parameter Subset Selection (PSS)

Chapter 12: Nonlinear Filtering

Chapter 13: Stochastic Nonlinear Mixed Effects Modeling

Chapter 14: Parameter Identification Using Neural Networks

Chapter 15: Control Issues

Erscheinungsdatum	10.11.2017
Reihe/Serie	Advances in Applied Mathematics
Verlagsort	Portland
Sprache	englisch
Maße	156 x 234 mm
Themenwelt	Mathematik / Informatik ► Mathematik ► Analysis
ISBN-10	1-4987-4619-5 / 1498746195
ISBN-13	978-1-4987-4619-9 / 9781498746199
Zustand	Neuware