March 2018
Beginner to intermediate
384 pages
12h 2m
English
Chapter 1: Overview of Time Series
1.2 Analysis Methods and SAS/ETS Software
1.2.2 How SAS/ETS Procedures Interrelate
1.3.2 Highly Regular Seasonality
1.3.3 Regression with Transformed Data
Chapter 2: Simple Models: Autoregression
2.1.1 Terminology and Notation
2.2.1 PROC ARIMA for Forecasting
2.2.2 Backshift Notation B for Time Series
2.2.3 Yule-Walker Equations for Covariances
2.3 Fitting an AR Model in PROC REG
Chapter 3: The General ARIMA Model