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SAS for Forecasting Time Series
SAS for Forecasting Time Series
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€118.99
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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
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.
SAS for Forecasting Time Series
€118.99
