SAS for Forecasting Time Series, Third Edition

John C Brocklebank, PH D,David A Dickey, PH D,Bong Choi

SAS for Forecasting Time Series, Third Edition
Format
Hardback
Publisher
SAS Institute
Published
20 July 2018
Pages
384
ISBN
9781635269000

SAS for Forecasting Time Series, Third Edition

John C Brocklebank, PH D,David A Dickey, PH D,Bong Choi

This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.

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. 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.

Completely updated, this new edition includes fresh, interesting business situations and data sets, and new sections on these up-to-date statistical methods:

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.

This item is not currently in-stock. It can be ordered online and is expected to ship in 7-14 days

Our stock data is updated periodically, and availability may change throughout the day for in-demand items. Please call the relevant shop for the most current stock information. Prices are subject to change without notice.

Sign in or become a Readings Member to add this title to a wishlist.