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Anders Milhøj's Practical Time Series Analysis Using SAS explains and demonstrates through examples how you can use SAS for time series analysis. It offers modern procedures for forecasting, seasonal adjustments, and decomposition of time series that can be used without involved statistical reasoning. The book teaches, with numerous examples, how to apply these procedures with very simple coding. In addition, it also gives the statistical background for interested readers. Beginning with an introductory chapter that covers the practical handling of time series data in SAS, it goes on to explain the TIMESERIES and EXPAND procedures; automatic or non-model-based forecasting, which is found in the ESM procedure; seasonal adjustment, including trading-day correction; and unobserved component models.

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