SAS for Forecasting Time Series

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A01=David A. Dickey
A01=John C. Brocklebank
arima
Author_David A. Dickey
Author_John C. Brocklebank
authors
book
brocklebank
Category=PB
choice
data
depends
discussion
edition
eq_isMigrated=1
eq_nobargain
ets
forecasting time series
indispensable sas
interrelationship
procedure
procedures
sas
sas performs
second
time series
tutorial approach
univariate

Product details

  • ISBN 9780471395669
  • Weight: 989g
  • Dimensions: 211 x 279mm
  • Publication Date: 07 Feb 2006
  • Publisher: John Wiley & Sons Inc
  • Publication City/Country: US
  • Product Form: Paperback
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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.
John C. Brocklebank is Mgr. of Stats. Training at the SAS Institute. David A. Dickey is Associate Professor of Statistics at North Carolina State University.

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