Lesson 4: Seasonal Models

Printer-friendly versionPrinter-friendly version


This week we'll cover models for seasonal data and continue to study non-seasonal models too.

Learning Objectives:

After successfully completing this lesson, you should be able to:

  • Difference for trend and seasonality
  • Identify and interpret a seasonal ARIMA model
  • Distinguish seasonal ARIMA terms from simultaneously exploring an ACF and PACF
  • Create and interpret diagnostic plots