Econometrics Toolbox
MATLAB-based Econometrics Toolbox featuring linear and nonlinear regression implementations, GARCH model estimation, and VAR model construction with statistical analysis capabilities.
Comprehensive MATLAB Toolbox Examples for Linear, Multiple Linear, and Nonlinear Regression
This MATLAB toolbox provides excellent practical examples for performing linear regression, multiple linear regression, and nonlinear regression analysis. The package includes detailed tutorial presentations and ready-to-use MATLAB code implementations, featuring regression algorithms, model fitting techniques, and statistical validation methods. These resources are highly practical for understanding regression modeling concepts and applications.
Support Vector Machine Nonlinear Regression General Implementation
General MATLAB Program for Support Vector Machine Nonlinear Regression and Comparative Study with BP Neural Network Approaches
Time Series Forecasting Algorithms
Time series forecasting algorithms including 5 common methods such as moving average, nonlinear regression, exponential smoothing with implementation insights
Support Vector Machine Nonlinear Regression
This MATLAB source code provides a generic implementation of Support Vector Machine (SVM) nonlinear regression, applicable for linear regression, nonlinear regression, nonlinear function fitting, data modeling, prediction, and classification scenarios. The implementation utilizes kernel functions for handling nonlinear relationships and includes optimization algorithms for efficient parameter tuning.
Nonlinear Regression
Nonlinear regression is a regression analysis method where the regression function has a nonlinear structure with respect to the unknown regression coefficients.
Time Series Forecasting Algorithms
Time Series Forecasting Algorithms with Implementation Approaches
Support Vector Machine: A Modern Regression Approach
Support Vector Machines offer an advanced regression methodology with robust implementation capabilities
Practical Example of Curve Fitting Using BP Neural Network
A complete implementation example demonstrating curve fitting with Back Propagation Neural Network, including data preparation, network architecture design, and training methodology.
Algorithms for Various Curve Fitting Techniques in MATLAB Environment
Comprehensive curve fitting algorithms available in MATLAB for diverse data analysis applications