NARMA

NARMA stands for Nonlinear Autoregressive Moving Average, which is a type of mathematical model used in time series analysis. It combines two key elements: autoregression, where past values of a series are used to predict future values, and moving averages, which smooth out fluctuations in the data. NARMA models are particularly valuable for capturing complex, nonlinear relationships in data that simple linear models might miss. They are widely used in fields like economics, engineering, and environmental studies to analyze and forecast trends based on historical data.