Smoothing 2: Moving Average for forecasting

  Рет қаралды 19,413

Galit Shmueli

Galit Shmueli

7 жыл бұрын

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
@marlinaismail804
@marlinaismail804 Ай бұрын
I really love your explanation. God bless u mam
@professorviniciusmontgomery
@professorviniciusmontgomery 9 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.
@fernandaluciagalvezaranda8850
@fernandaluciagalvezaranda8850 3 жыл бұрын
Thank you 😩
@newtonding
@newtonding 5 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.
@HardikSondagar
@HardikSondagar 5 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
@akrsrivastava
@akrsrivastava 5 жыл бұрын
Wouldnt it be better to do a one step forward forecast?
Performance 4: Predictive metrics & charts
20:32
Galit Shmueli
Рет қаралды 8 М.
Regression 2: Linear trend model
7:04
Galit Shmueli
Рет қаралды 12 М.
Can You Draw A PERFECTLY Dotted Line?
00:55
Stokes Twins
Рет қаралды 85 МЛН
She ruined my dominos! 😭 Cool train tool helps me #gadget
00:40
Go Gizmo!
Рет қаралды 64 МЛН
Children deceived dad #comedy
00:19
yuzvikii_family
Рет қаралды 7 МЛН
How to Start an Airbnb (2024) | Airbnb Tutorial
2:00
HowLogical
Рет қаралды 1
Smoothing 5: Holt's exponential smoothing
11:58
Galit Shmueli
Рет қаралды 40 М.
Smoothing 3: Differencing
4:34
Galit Shmueli
Рет қаралды 23 М.
Performance 3: Naive forecasts
4:36
Galit Shmueli
Рет қаралды 10 М.
Regression 4: Model for capturing seasonality
8:01
Galit Shmueli
Рет қаралды 10 М.
Exploring time series using visualization (with Tableau)
10:39
Galit Shmueli
Рет қаралды 8 М.
Smoothing 6: Winter's exponential smoothing
9:17
Galit Shmueli
Рет қаралды 48 М.
Forecasting with Neural Networks: Part A
11:48
Galit Shmueli
Рет қаралды 47 М.
Can You Draw A PERFECTLY Dotted Line?
00:55
Stokes Twins
Рет қаралды 85 МЛН