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. Author manuscript; available in PMC: 2022 Sep 7.
Published in final edited form as: Environ Model Softw. 2020 Mar 10;127:104666. doi: 10.1016/j.envsoft.2020.104666

Table 2.

Description of different smoothing methods (Press et al., 1993) included on DATimeS. Source: MathWorks.

Filter Description
Moving A low pass filter with filter coefficients equal to the reciprocal of the span.
LOWESS Local regression using weighted linear least squares and a 1st degree polynomial model.
LOESS Local regression using weighted linear least squares and a 2nd degree polynomial model.
Savitzky-Golay A generalized moving average with filter coefficients determined by an unweighted linear least-squares regression and a polynomial model of specified degree. The method can accept nonuniform predictor data.
RLOWESS A robust version of ‘lowess’ that assigns lower weight to outliers in the regression. The method assigns zero weight to data outside six mean absolute deviations.
RLOESS A robust version of ‘loess’ that assigns lower weight to outliers in the regression. The method assigns zero weight to data outside six mean absolute deviations.