Nonlinear Regression Modeling for Engineering Applications Modeling, Model Validation, and Enabling Design of Experiments - Rhinehart, R. Russell 1946- (The American Society of Mechanical Engineers, 2016)
Includes bibliographical references and index
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. - System requirements: Adobe Acrobat Reader. - Mode of access: Internet via World Wide Web