Many of the newer methods are variations on the basic ARIMA structures.Ĭompletely updated, this new edition includes fresh, interesting business situations and data sets, and new sections on these up-to-date statistical methods: From the well-known ARIMA models to unobserved components, methods that span the range from simple to complex are discussed and illustrated. Starting with fundamentals, this new edition presents methods for modeling both univariate and multivariate data taken over time. With this third edition of SAS for Forecasting Time Series, intermediate-to-advanced SAS users-such as statisticians, economists, and data scientists-can now match the most sophisticated forecasting methods to the most current SAS applications. To use statistical methods and SAS applications to forecast the future values of data taken over time, you need only follow this thoroughly updated classic on the subject.
