Calculating Cumulative Distribution Function (CDF)

Resource Overview

Two MATLAB programs for computing CDF using different numerical approaches with implementation details

Detailed Documentation

Below you will find two MATLAB programs for calculating the Cumulative Distribution Function (CDF). These programs employ distinct computational methodologies, allowing you to select the most suitable approach for your specific requirements. The first implementation utilizes numerical integration techniques, typically employing functions like trapz() or cumtrapz() for discrete data integration, or integral() for continuous functions. The second approach uses symbolic integration through MATLAB's Symbolic Math Toolbox, leveraging functions like int() for analytical solutions. Both programs are designed to facilitate efficient CDF computation and include error handling for input validation. The numerical method offers better performance for large datasets, while the symbolic approach provides exact mathematical expressions when applicable. You can choose either program based on your data type and precision requirements.