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Refactor documentation for various filters and indicators to enhance clarity and consistency
- Updated Bessel, Bilateral, Blma, Butter, Conv, Ema, Kama, LSMA, MAMA, MGDI, SSF, USF, ATR, ADL, and ADOSC documentation to use bullet points for key concepts and features. - Added a new Qodana configuration file for code analysis. - Removed coverage configuration from Quantower.Tests.csproj to streamline testing setup.
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@@ -12,10 +12,10 @@ $$RMSE = \sqrt{\frac{1}{n} \sum_{i=1}^{n} (y_i - \hat{y}_i)^2} = \sqrt{MSE}$$
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## Properties
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- **Non-negative**: RMSE ≥ 0
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- **Same units**: Unlike MSE, RMSE is in original data units
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- **Outlier sensitive**: Inherits MSE's penalty for large errors
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- **Always ≥ MAE**: RMSE ≥ MAE due to Jensen's inequality
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* **Non-negative**: RMSE ≥ 0
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* **Same units**: Unlike MSE, RMSE is in original data units
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* **Outlier sensitive**: Inherits MSE's penalty for large errors
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* **Always ≥ MAE**: RMSE ≥ MAE due to Jensen's inequality
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## Usage
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@@ -37,5 +37,5 @@ var results = Rmse.Calculate(actualSeries, predictedSeries, period: 20);
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## Related Indicators
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- [MSE](../mse/Mse.md) - Mean Squared Error
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- [MAE](../mae/Mae.md) - Mean Absolute Error
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* [MSE](../mse/Mse.md) - Mean Squared Error
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* [MAE](../mae/Mae.md) - Mean Absolute Error
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