Discover how to test the significance of correlations between datasets using Monte Carlo simulations, with step-by-step implementations in both Python and MATLAB. Learn how to leverage randomization to assess the robustness of your statistical findings.
Explore hypothesis testing through randomization and bootstrapping with updated implementations in both Python and MATLAB. Understand the process and visualize results to test the null hypothesis effectively.
An introduction to the basics of genetic algorithm along with a simple numerical example and solution of an earthquake location problem
This article provides a comprehensive guide on performing non-linear curve fitting with multiple observational variables using MATLAB's lsqcurvefit function, including detailed explanations and code examples.
