12.28 Para saber mais
- (Hanck et al. 2024)
- (Svetunkov 2024a)
- (Svetunkov 2024b)
- STAT 510 - Applied Time Series Analysis
- https://online.stat.psu.edu/stat510/lesson/1
- https://online.stat.psu.edu/stat510/lesson/2
- https://online.stat.psu.edu/stat510/lesson/3
- https://online.stat.psu.edu/stat510/lesson/4
- https://online.stat.psu.edu/stat510/lesson/5
- https://online.stat.psu.edu/stat510/lesson/6
- (Svetunkov 2023)
- (Svetunkov 2022)
- (Rob J. Hyndman and Athanasopoulos 2021)
Referências
Hanck, Christoph, Martin Arnold, Alexander Gerber, and Martin Schmelzer. 2024. Introduction to Econometrics with r. Universität Duisburg-Essen. https://www.econometrics-with-r.org/.
———. 2021. Forecasting: Principles and Practice, 3rd Ed. OTexts. https://otexts.com/fpp3/.
Svetunkov, Ivan. 2022. “Statistics for Business Analytics.” Lecture notes. OpenForecast. https://openforecast.org/sba/.
———. 2023. Forecasting and Analytics with the Augmented Dynamic Adaptive Model (ADAM). Chapman; Hall/CRC. https://doi.org/10.1201/9781003452652.
———. 2024a. Greybox: Toolbox for Model Building and Forecasting. https://CRAN.R-project.org/package=greybox.
———. 2024b. Smooth: Forecasting Using State Space Models. https://CRAN.R-project.org/package=smooth.