Series de tiempo - Pronóstico sobre series sin tendencia y con estacionalidad.

In this video, we explore techniques that allow us to forecast time series that do not have a trend but do have seasonality: These are called the Additive Seasonal Technique and the Multiplicative Seasonal Technique. In both cases, we measure the error using MAPE, optimize the parameters, and conclude which of the two offers the best forecast for a specific time series. You can download the presentation and data files used at the following link: https://drive.google.com/drive/folder... File: VIDEO 5 ESTAC ADIT MULTIPLK