This practical, hands-on guide empowers you to build and deploy powerful time series forecasting models. Whether you’re working with traditional statistical methods or cutting-edge deep learning ...

The ARIMA statement options control the ARIMA model used and the estimation, forecasting, and printing of this model ... "The ARIMA Procedure." centers each time series by subtracting its sample mean.

You'll learn how to use the SAS System to forecast time series data using Box-Jenkins ARIMA methodology; develop and forecast transfer functions and intervention models; fit and forecast regression ...

and different approaches to classical and machine learning time series modeling and forecasting. A range of pedagogical features support students, including end-of-chapter exercises, problems, quizzes ...