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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 SIMILARITY Procedure
The SIMILARITY Procedure
Experimental
Overview: SIMILARITY Procedure
Getting Started: SIMILARITY Procedure
Syntax
Functional Summary
PROC SIMILARITY Statement
BY Statement
FCMPOPT Statement
ID Statement
INPUT Statement
TARGET Statement
Details: SIMILARITY Procedure
Accumulation
Missing Value Interpretation
Zero Value Interpretation
Time Series Transformation
Time Series Differencing
Time Series Missing Value Trimming
Time Series Descriptive Statistics
Input and Target Sequences
Sliding Sequences
Time Warping
Sequence Normalization
Sequence Scaling
Similarity Measures
User-Defined Functions and Subroutines
Output Data Sets
OUT= Data Set
OUTMEASURE= Data Set
OUTSUM= Data Set
OUTSEQUENCE= Data Set
OUTPATH= Data Set
_STATUS_ Variable Values
Printed Output
ODS Tables Names
ODS Graphics
Examples: SIMILARITY procedure
Accumulating Transactional Data into Time Series Data
Similarity Analysis
Sliding Similarity Analysis
Searching for Historical Analogies
References
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Copyright © 2007 by SAS Institute Inc., Cary, NC, USA. All rights reserved.
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