# 13 Resources

## R code for all chapters

These files include all the R code that is used in the book. It is easier to use these than copy and paste from within each chapter.

## Solutions to exercises

These are password protected and only available to instructors. Please complete this request form. You will need to provide evidence that you are an instructor and not a student (e.g., a link to your personal page on a university website).

## Forecasting time series using R

Here is a one-hour talk by one of the authors on *Forecasting time series using R*. The URL of the book mentioned at the end has changed to **www.otexts.org/fpp/**, the site you are now on.

## Time series course

These are the slides from a course on *Time series forecasting using R*. Each lecture lasted one hour.

- Introduction to forecasting [Exercises]
- The forecaster's toolbox [Exercises]
- Autocorrelation and seasonality [Exercises]
- White noise and time series decomposition [Exercises]
- Exponential smoothing methods [Exercises]
- ETS models [Exercises]
- Transformations and adjustments [Exercises]
- Stationarity and differencing [Exercises]
- Non-seasonal ARIMA models [Exercises]
- Seasonal ARIMA models [Exercises]
- Dynamic regression [Exercises]
- Advanced methods

## Predictive Analytics course (University of Sydney)

Slides contributed by Andrey Vasnev

- Section 2.5: Evaluating forecast accuracy
- Chapter 4: Simple regression
- Chapter 5: Multiple regression

## Economic Forecasting course (University of Hawaii)

Slides contributed by Peter Fuleky

- Using R. (Rmd source)
- Getting started. (Rmd source)
- The forecaster's toolbox. (Rmd source)
- Judgemental forecasts. (Rmd source)
- Simple regression. (Rmd source)
- Multiple regression. (Rmd source)
- Time series decomposition. (Rmd source)
- Exponential smoothing. (Rmd source)
- ARIMA models. (Rmd source)

## Test bank

(Contributed by Pasha Safarzadeh)

## Case study: Planning and forecasting in a volatile setting

By Amy Wheeler, Nina Weitkamp, Patrick Berlekamp, Johannes Brauer, Andreas Faatz and Hans-Ulrich Holst

Designed and coded at Hochschule Osnabrück, Germany

Contact: Andreas Faatz