Chapter 4: The ARIMA Model: Introductory Applications
4.1.1 Introduction to Seasonal Modeling
4.2 Models with Explanatory Variables
4.2.1 Case 1: Regression with Time Series Errors
4.2.3 Case 2: Simple Transfer Functions
4.2.4 Case 3: General Transfer Functions
4.2.5 Case 3A: Leading Indicators
4.3.1 Case 1: Regression with Time Series Errors
4.3.2 Case 2: Simple Transfer Functions
4.3.3 Case 3: General Transfer Functions
4.4.1 North Carolina Retail Sales
4.4.2 Construction Series Revisited
4.4.3 Milk Scare (Intervention)
4.1 Seasonal Time ...
Get SAS for Forecasting Time Series, Third Edition, 3rd Edition now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.