Thank you for visiting us. We are currently updating our shopping cart and regret to advise that it will be unavailable until September 1, 2014. We apologise for any inconvenience and look forward to serving you again.

Wiley
Wiley.com
Print this page Share

SAS for Forecasting Time Series, 2nd Edition

ISBN: 978-0-471-39566-9
424 pages
July 2003
SAS for Forecasting Time Series, 2nd Edition (0471395668) cover image
Easy-to-read and comprehensive, this book shows how the SAS System performs multivariate time series analysis and features the advanced SAS procedures STATSPACE, ARIMA, and SPECTRA. The interrelationship of SAS/ETS procedures is demonstrated with an accompanying discussion of how the choice of a procedure depends on the data to be analysed and the reults desired. Other topics covered include detecting sinusoidal components in time series models and performing bivariate corr-spectral analysis and comparing the results with the standard transfer function methodology. The authors? unique approach to integrating students in a variety of disciplines and industries. Emphasis is on correct interpretation of output to draw meaningful conclusions. The volume, co-pubished by SAS and JWS, features both theory and practicality, and accompanies a soon-to-be extensive library of SAS hands-on manuals in a multitude of statistical areas. The book can be used with a number of hardware-specific computing machines including CMS, Mac, MVS, Opem VMS Alpha, Opmen VMS VAX, OS/390, OS/2, UNIX, and Windows.
See More
Preface.

Acknowledgments.

Chapter 1- Overview of Time Series.

Chapter 2- Simple Models: Autoregression.

Chapter 3- The General ARIMA Model.

Chapter 4- The ARIMA Model: Introductory Applications.

Chapter 5- The ARIMA Model: Special Applications.

Chapter 6- State Space Modeling.

Chapter 7- Spectral Analysis.

Chapter 8- Data Mining and Forecasting.

References.

Index.

See More
John C. Brocklebank, Research and Development Director of Analytic Solutions at SAS, joined SAS in 1981 and has been a SAS user since 1978. Dr. Brocklebank received his Ph.D. in statistics and mathematics from North Carolina State University in 1981. He is often invited to conferences to speak about time series and statistical methods.

David A. Dickey is Professor of Statistics at North Carolina State University, where he teaches graduate courses in statistical methods and time series. An accomplished SAS user since 1976 and a prolific author, Dr. Dickey is the co-inventor of the Dickey-Fuller test used in SAS/ETS software. He received his Ph.D. in statistics from Iowa State University in 1976. He is a fellow of the American Statistical Association and a member of the Institute of Mathematical Statistics.

See More
"The new material and the update of the excellent 1E, now 17 years in the past, certainly make the 2E a necessary purchase for any user of SAS time series modeling methods." (Technometrics, Vol. 46, No. 1, February 2004)

“Taking a tutorial approach, the authors focus on procedures that most effectively bring results…” (Zentralblatt MATH, April 2007)

See More
Buy Both and Save 25%!
+

SAS for Forecasting Time Series, 2nd Edition (US $114.00)

-and- Introduction to Time Series Analysis and Forecasting (US $157.00)

Total List Price: US $271.00
Discounted Price: US $203.25 (Save: US $67.75)

Buy Both
Cannot be combined with any other offers. Learn more.
Back to Top