Skip Nav Destination
Engineering Optimization: Applications, Methods, and Analysis
ISBN:
9781118936337
No. of Pages:
770
Publisher:
ASME Press
Publication date:
2018
This chapter is a summary of key issues and solutions related to nonlinear regression–fitting nonlinear models to data. The details of diverse issues are revealed in the book Nonlinear Regression Modeling for Engineering Applications: Modeling, Model Validation, and Enabling Design of Experiments by Rhinehart, R. R., John Wiley & Sons, Inc., Hoboken, NJ, 2016b. Here, they are summarized and presented with an optimization application perspective.
This content is only available via PDF.
You do not currently have access to this chapter.
Email alerts
Related Chapters
Standard Usage and Transformation of Taguchi-Class Orthogonal Arrays
Taguchi Methods: Benefits, Impacts, Mathematics, Statistics and Applications
Exercises
Taguchi Methods: Benefits, Impacts, Mathematics, Statistics and Applications
Introduction
Introduction to Dynamics and Control in Mechanical Engineering Systems
Model Validation of Component Library System Based on Service-Oriented Architecture
International Symposium on Information Engineering and Electronic Commerce, 3rd (IEEC 2011)
Related Articles
Torus Form Inspection Using Coordinate Sampling
J. Manuf. Sci. Eng (February,2005)
Multivariate Response Rotordynamic Modeling and Sensitivity Analysis of Tilting Pad Bearings
J. Eng. Gas Turbines Power (July,2018)
Framework for Cone Feature Measurement Using Coordinate Measuring Machines
J. Manuf. Sci. Eng (February,2004)