LOWESSLocally Weighted Scatterplot Smoothing (regression)
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Figure S2: Lowess Curves for Unadjusted Linear Trends in VTEs in the Knee Replacement Cohort.
(203.) To ease visualization, the citation rates are displayed using LOWESS smoothing with the smoothing parameter set to 0.33.
The concentration of testosterone and SHBG were interpolated by Spline and Lowess method using the Spline Curve as provided in Figures 1 and 2.
Despite the smoothing strategy, we can observe the impact of the outliers in the resulting estimated lowess profiles (in particular when the output variable is the achieved amount of savings) and that a clear shape for the estimation model does not exist.
We can make [[??].sub.[tau]](z) smooth by using NW regression (one can also use LOWESS (LOcally WEighted Scatter plot Smoother) regression introduced by [22] to smooth the estimator in (36) and it solves the problem of boundary effects).
The data were analysed by first subtracting the background and then normalizing the signals using a LOWESS filter (locally weighted regression) (Supplementary Tables 2-5).
Correlations between continuous variables are described by LOWESS curves and Pearson's correlation coefficients.
The solid black line is the global annual mean and the solid red line is the five-year lowess smooth, i.e.
That research focused on the over-the-year change difference, a seasonally adjusted difference, and a Lowess estimator.
Lowess (robust locally weighted regression and smoothing scatterplot) is a nonparametric regression method that combines multiple regression models in a k-nearest-neighbor-based meta-model.
Strontium isotope stratigraphy: LOWESS version 3: best fit to the marine Sr-isotope curve for 0-509 Ma and accompanying look-up table for deriving numerical age.