M2 - Autocovariance and autocorrelation function

Learning Objectives

The learning goals for this module are:

• Recap basic statistics concepts relevant to TSA;
  
• Define autocorrelation function (ACF);
  
• Define partial autocorrelation function (ACF);
  
• On the programming skills side: introduction to RMarkdown.

Slides

Here is a link to the slide deck used in class.

Resources

Additional information and resources for this module will be found below.

• Time Series Analysis with Applications - Cryer and Shan - Chapter 2

• Intro to R and RStudio

• Package Lubridate Cheat Sheet

Class exercise: calculate ACF and PACF for collected temperature data.

• Download Excel file
• Download Excel file with Solution

Recordings (optional)

• Video 1: ACF
• Video 2: PACF

Deliverables

For this module you will complete Assignment 2. The due date for A02 is Jan 25.