Week 5: Exponential smoothing
Week 5
Introduce exponential smoothing models for level and trend, and connect the methods to ETS notation.
Quiz highlight
Week 5 quiz
Due Wednesday 01 April
Quiz links switch with your selected course, so this stays as the main weekly action.
Prepare before class
Read Sections 8.1 to 8.4 of FPP3 and review the difference between smoothing methods and their ETS models.
Seminar and workshop
Wednesday 01 April · Seminar 3:00pm to 3:50pm, workshop 4:00pm to 4:50pm · Building K Level 3, K321
Focus
- Simple exponential smoothing
- Trend methods and ETS notation
- Interpreting level and trend components
Assessment
Week 5 quiz on Wednesday 01 April · IA2 on Thursday 02 April
Week 5 quiz on Wednesday 01 April · IA2 on Thursday 02 April
What you will learn this week
- Simple exponential smoothing and corresponding ETS models
- Methods with trend and corresponding ETS models
- ETS model notation
Pre-class activities
Read Sections 8.1-8.4 of the textbook and watch all embedded videos
Slides for seminar
Seminar Code
Tutorial exercises
NoteTutorial Learning Objectives
- Implement and interpret exponential smoothing models.
- Able to estimate simple exponential smoothing (SES) model, interpret the smoothing parameters, and generate point and interval forecasts.
- Develop custom forecasting functions.
- Write and test user-defined functions to perform simple exponential smoothing, compare their outputs with built-in functions (like ETS()), and understand the computational steps involved.
- Optimise model parameters using numerical methods.
- Modify exponential smoothing functions to compute an error measure and use numerical optimisation methods to determine the optimal smoothing parameter
- Able to compare results with the automatic ETS estimation.
Complete Exercises 1-4 from Section 8.8.
Assignments
Weekly quiz
- Week 5 quiz: Open ETF3231 quiz Open ETF5231 quiz — Due Wednesday 01 April.