Using a moving average to forecasting a time series This video supports the textbook Practical Time Series Forecasting. www.forecastingbook.com www.galitshmueli.com
Пікірлер: 6
@marlinaismail804Ай бұрын
I really love your explanation. God bless u mam
@professorviniciusmontgomery9 ай бұрын
Thank you very much for the excellent moving average method class. It was very useful for me. I´d appreciate more videos on Forecasts and, if possible, in DOE too.
@fernandaluciagalvezaranda88503 жыл бұрын
Thank you 😩
@newtonding5 жыл бұрын
By what metrics do you make the judgement on whether the model capture the trend and seasonality? Based on the visualization of the model itself and forecast error? looking at the two examples in the video, I can understand that seasonality is not captured by looking at the chart of the forecast error since the forecast error clearly shows the seasonality. However, I cannot know how to judge whether the trend is properly captured or not.
@HardikSondagar5 жыл бұрын
In validation part (gray one) of visualization, forecast value is constant means information of seasonality and trend is missing as moving average forecasts only single value for whole validation period. It doesn't indicate the same in MAPE, MAD or MSE
@akrsrivastava5 жыл бұрын
Wouldnt it be better to do a one step forward forecast?