Predictive Analytics in Business
ARIMA, which stands for AutoRegressive Integrated Moving Average, is a popular statistical method used for time series forecasting. It combines three components: autoregression (AR), differencing to make the data stationary (I), and a moving average model (MA). This technique is crucial in predictive analytics, especially when analyzing historical data patterns to forecast future values, making it significant in understanding underlying trends, seasonality, and noise in time series data.
congrats on reading the definition of ARIMA. now let's actually learn it.