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The bias of the CFSR data was corrected by a linear bias correction approach which is described by Worqlul et al. (2017b).
To meet the REML requirement that the data are normally distributed, the extreme skewness of the data was corrected by a natural log transformation.
The effect of Teflon friction on mechanical data was corrected by subtracting the intercept value obtained from a shear stress versus normal stress plot (Figure 3b,e), following Togo et al. (2011).
The right-skew in the P&L and Sharpe Ratio data was corrected by a Box-Cox transformation (SI).
The cell-size-dependent bias in FLI data was corrected by subtracting the FLI-versus-FLS function from the fluorescence of each event based on the event's FLS value.
Because these non-ratiometric measurements were affected by bleaching of the indicator dye (Fig. 3B), the data was corrected by subtracting the bleaching contribution estimated by the slope difference (a0) from first and last exposures to control saline, quantifying the effect of tested compounds as: [ a1−a0)/(a2−a0) ×100].
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Mortality data were corrected by Abbott's formula (Abbott 1925).
The diffraction data were corrected by performing a subtraction of the background signal (measured with no sample in place).
Figure 11 plots the D 2.90 values and the D 2.76/D 2.90 ratios after the D 2.90 values of NIRS3 data were corrected by the correlation lines (Fig. 10d).
Similarly, precipitation data is corrected by multiplying with ratio of mean monthly observed precipitation and SDSM simulated mean monthly precipitation (Teutschbein and Seibert 2012).
If the solution of (1) is smooth, we get the exact solution; in case of shocks the multivalued graph of the initial data is corrected by a geometrical averaging technique via the conservation principle.
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