Hi,
In this leason I've learnt how to manage in other to predict future values of a time series, such as monthly cost or monthly product revenues. This is usually difficult because the characteristics of any time series are constantly changing. Smoothing or adaptive mothods are usually best suited for forecasting furere values of a times series.
The file that you can look at below, you'll find one description the most powerful smoothing method: Winters's method.
To help you understand how Winters's method works, we use several examples where you could see all details of the reckonings needed to get truethly forecast.
Click here
In this leason I've learnt how to manage in other to predict future values of a time series, such as monthly cost or monthly product revenues. This is usually difficult because the characteristics of any time series are constantly changing. Smoothing or adaptive mothods are usually best suited for forecasting furere values of a times series.
The file that you can look at below, you'll find one description the most powerful smoothing method: Winters's method.
To help you understand how Winters's method works, we use several examples where you could see all details of the reckonings needed to get truethly forecast.
Click here
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