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SAS 9.2 Documentation
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SAS/ETS(R) 9.2 User's Guide
PDF
Contents
About
Credits and Acknowledgments
What's New in SAS/ETS
General Information
Introduction
Working with Time Series Data
Date Intervals, Formats, and Functions
SAS Macros and Functions
Nonlinear Optimization Methods
Procedure Reference
The ARIMA Procedure
The AUTOREG Procedure
The COMPUTAB Procedure
The COUNTREG Procedure
The DATASOURCE Procedure
The ENTROPY Procedure
The ESM Procedure
The EXPAND Procedure
The FORECAST Procedure
The LOAN Procedure
The MDC Procedure
The MODEL Procedure
The PANEL Procedure
The PDLREG Procedure
The QLIM Procedure
The SIMILARITY Procedure
The SIMLIN Procedure
The SPECTRA Procedure
The STATESPACE Procedure
The SYSLIN Procedure
The TIMESERIES Procedure
The TSCSREG Procedure
The UCM Procedure
The VARMAX Procedure
The X11 Procedure
The X12 Procedure
Data Access Engines
The SASECRSP Interface Engine
The SASEFAME Interface Engine
The SASEHAVR Interface Engine
Time Series Forecasting System
Overview of the Time Series Forecasting System
Getting Started with Time Series Forecasting
Creating Time ID Variables
Specifying Forecasting Models
Choosing the Best Forecasting Model
Using Predictor Variables
Command Reference
Window Reference
Forecasting Process Details
Investment Analysis
Overview
Portfolios
Investments
Computations
Analyses
Details
Index here
Product
Release
SAS/ETS
9.2
Type
Usage and Reference
Copyright Date
March 2008
Last Updated
15Apr2008
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Introduction
Introduction
Overview of SAS/ETS Software
Uses of SAS/ETS Software
Contents of SAS/ETS Software
About This Book
Chapter Organization
Typographical Conventions
Where to Turn for More Information
Accessing the SAS/ETS Sample Library
Online Help System
SAS Short Courses
SAS Technical Support Services
Major Features of SAS/ETS Software
Discrete Choice and Qualitative and Limited Dependent Variable Analysis
Regression with Autocorrelated and Heteroscedastic Errors
Simultaneous Systems Linear Regression
Linear Systems Simulation
Polynomial Distributed Lag Regression
Nonlinear Systems Regression and Simulation
ARIMA (Box-Jenkins) and ARIMAX (Box-Tiao) Modeling and Forecasting
Vector Time Series Analysis
State Space Modeling and Forecasting
Spectral Analysis
Seasonal Adjustment
Structural Time Series Modeling and Forecasting
Time Series Cross-Sectional Regression Analysis
Automatic Time Series Forecasting
Time Series Interpolation and Frequency Conversion
Trend and Seasonal Analysis on Transaction Databases
Access to Financial and Economic Databases
Spreadsheet Calculations and Financial Report Generation
Loan Analysis, Comparison, and Amortization
Time Series Forecasting System
Investment Analysis System
ODS Graphics
Related SAS Software
Base SAS Software
SAS Forecast Studio
SAS High-Performance Forecasting
SAS/GRAPH Software
SAS/STAT Software
SAS/IML Software
SAS Stat Studio
SAS/OR Software
SAS/QC Software
MLE for User-Defined Likelihood Functions
JMP Software
SAS Enterprise Guide
SAS Add-In for Microsoft Office
SAS Enterprise Miner—Time Series Node
SAS Risk Products
References
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Copyright © 2007 by SAS Institute Inc., Cary, NC, USA. All rights reserved.
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