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SAS for Forecasting Time Series, Third Edition
- ARIMA models
- Vector autoregressive models
- Exponential smoothing models
- Unobserved component and state-space models
- Seasonal adjustment
- Spectral analysis
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:
- The ARIMA procedure
- The AUTOREG procedure
- The VARMAX procedure
- The ESM procedure
- The UCM and SSM procedures
- The X13 procedure
- The SPECTRA procedure
- SAS Forecast Studio
Each SAS application is presented with explanation of its strengths, weaknesses, and best uses. Even users of automated forecasting systems will benefit from this knowledge of what is done and why. Moreover, the accompanying examples can serve as templates that you easily adjust to fit your specific forecasting needs.
This book is part of the SAS Press program.