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Chapter 7The ARIA ProcedureChapter Table of Contents OVERVIEW. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 193 GETTING STARTED. . . . . . . . . . . . . . . . . . . The Three
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Form ARIMA procedure is a method for analyzing and forecasting time series data using Autoregressive Integrated Moving Average (ARIMA) models.
Form ARIMA procedure is usually filed by data analysts, statisticians, economists, or anyone dealing with time series data.
Form ARIMA procedure is typically filled out by specifying the parameters of the ARIMA model, such as autoregressive order, differencing order, and moving average order.
The main purpose of form ARIMA procedure is to accurately forecast future values based on historical time series data.
Information such as the time series data, model parameters, goodness-of-fit measures, and forecasted values are typically reported on form ARIMA procedure.
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