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SAS® Viya® Platform Programming Documentation

|PDF

Welcome to SAS Programming Documentation
What's New
Learning SAS Viya Platform Programming
Syntax Quick Links
Python Programming
Advanced Analytics
- Machine Learning
- Econometrics
- SAS Enterprise Miner: High-Performance Procedures
- Forecasting
  - SAS Forecast Server
    - SAS Forecast Server Procedures: User's Guide
    - Time Series Packages
  - SAS Visual Forecasting
- IML (Interactive Matrix Language)
- Optimization and Simulation
- Quality Control
- Statistics
- SAS Visual Analytics Programming Guide
- Text Analytics
Data Access
Cloud Analytic Services
SAS Language Reference
Migrating to UTF-8
Example Data Sets
SAS Code Debugging
Output and Graphics
In-Database Processing
Security and Administration
SAS Servers
Using the batch Plug-In for the SAS Viya CLI
Accessibility on the SAS Viya Platform
SAS Data Quality
SAS Job Execution Web Application Doc Link
SAS Job Execution Web Application
SAS Data and AI Studio
SAS Visual Analytics
SAS Viya Platform: Administration
SAS Viya Platform Operations
Other Resources

SAS Forecast Server Procedures: User's Guide

Forecasting Process Details

Forecasting Process Summary
Smoothing Models
ARIMA Models
Unobserved Component Models
Intermittent Models
External Models
Series Transformations
Series Diagnostic Tests
Statistics of Fit
References

This chapter provides computational details on several aspects of the SAS Forecast Server Procedures software.

Last updated: March 05, 2026

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