Holt Exponential Smoothing |
Description | - Holt Exponential Smoothing, also known as Double Exponential Smoothing, is a forecasting.
- It is an extension of Simple Exponential Smoothing.
- This method is used for data that exhibit a trend but no seasonal component.
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Why to use | It is a forecasting method used to predict the future values based on the time series data. |
When to use | On datasets exhibiting a linear trend over time. | When not to use | - On datasets with strong seasonality.
- Data with Non-Linear trends.
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Prerequisites | A time series data with linear trend and no seasonal patterns. |
Input | Time series data | Output | - Forecasting Chart
- Model Parameters
- Accuracy Parameters
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Statistical Method Used | | Limitations | - Sensitivity to Outliers
- Non-seasonal data
- Non-linear data
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