MathWorks. MatLAB Curve Fitting Toolbox User's Guide R2020a

Author not specified. — The MathWorks, Inc., 2020. — 630 p.Curve Fitting Toolbox provides an app and functions for fitting curves and surfaces to data.The toolbox lets you perform exploratory data analysis, preprocess and post-process data, compare candidate models, and remove outliers. You can conduct regression analysis using the library of linear and nonlinear models provided or specify your own custom equations. The library provides optimized solver parameters and starting conditions to improve the quality of your fits. The toolbox also supports nonparametric modeling techniques, such as splines, interpolation, and smoothing.After creating a fit, you can apply a variety of post-processing methods for plotting, interpolation, and extrapolation; estimating confidence intervals; and calculating integrals and derivatives.Getting Started
Interactive Fitting
Programmatic Curve and Surface Fitting
Linear and Nonlinear Regression
Custom Linear and Nonlinear Regression
Interpolation and Smoothing
Fit Postprocessing
Spline Fitting
Functions