Logistic and Malthusian Models for Exponential Growth Data Prediction
The logistic and Malthusian models serve as essential tools for forecasting exponentially growing datasets such as population trends. Developed by demographers, these models enable predictions of unknown quantities and validation of results obtained from other analytical frameworks. With practical code implementations for parameter estimation and growth simulation, they provide both theoretical insights and computational approaches for demographic analysis.