Advanced Communication Research Methods
The Autoregressive Integrated Moving Average (ARIMA) is a popular statistical analysis model used for forecasting time series data. It combines three components: autoregression (AR), differencing (I), and moving average (MA), allowing it to model various types of time-dependent data effectively. This model is particularly useful in regression analysis for understanding patterns, trends, and seasonality in the data.
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