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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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The FORECAST Procedure
The FORECAST Procedure
Overview
Getting Started
Giving Dates to Forecast Values
Computing Confidence Limits
Form of the OUT= Data Set
Plotting Forecasts
Plotting Residuals
Model Parameters and Goodness-of-Fit Statistics
Controlling the Forecasting Method
Introduction to Forecasting Methods
Time Trend Models
Time Series Methods
Combining Time Trend with Autoregressive Models
Syntax
Functional Summary
PROC FORECAST Statement
BY Statement
ID Statement
VAR Statement
Details
Missing Values
Data Periodicity and Time Intervals
Forecasting Methods
Specifying Seasonality
Data Requirements
OUT= Data Set
OUTEST= Data Set
Examples
Forecasting Auto Sales
Forecasting Retail Sales
Forecasting Petroleum Sales
References
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Copyright © 2007 by SAS Institute Inc., Cary, NC, USA. All rights reserved.
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