Original PDF Ebook – SAS for Forecasting Time Series3rd Edition – 9781629598444

Original PDF Ebook – SAS for Forecasting Time Series3rd Edition – 9781629598444

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. 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._x000D_
Starting with fundamentals, this new edition presents methods for modeling both univariate and multivariate data taken over time. From the well-known ARIMA models to unobserved components, methods that span the range from simple to complex are discussed and illustrated. Many of the newer methods are variations on the basic ARIMA structures._x000D_
Completely updated, this new edition includes fresh, interesting business situations and data sets, and new sections on these up-to-date statistical methods:_x000D_
ARIMA models_x000D_
Vector autoregressive models_x000D_
Exponential smoothing models_x000D_
Unobserved component and state-space models_x000D_
Seasonal adjustment_x000D_
Spectral analysis_x000D_
Focusing on application, this guide teaches a wide range of forecasting techniques by example. The examples provide the statistical underpinnings necessary to put the methods into practice. The following up-to-date SAS applications are covered in this edition:_x000D_
The ARIMA procedure_x000D_
The AUTOREG procedure_x000D_
The VARMAX procedure_x000D_
The ESM procedure