Your English writing platform
Discover LudwigSuggestions(5)
Exact(46)
The optimal design is constructed for the estimation of several pairs of parameters.
Most pairs of parameters have strong linear correlation with a coefficient of 0.8 1.
Several pairs of parameters generate similar results (for example, sets 2 and 3; sets 5 and 6; and sets 8 and 9), overlapping each other in Fig. 7.
Accordingly, two pairs of parameters should be used, one for NLOS severe (μ s and σ s ) and the other for NLOS weak (μ w and σw).
The correlations between pairs of parameters (CTP, 18F-FDG-PET/CT, size, stage, and MVD) were evaluated by Spearman's rank correlation coefficient due to the skew distribution of the data.
The pairs of parameters for the two regression functions are (C=3.03, γ=9.76×10−4) for the regression function of permittivity and (C=73.5, γ=0.0118) for the function of thickness.
Similar(14)
Fig. 5. Plots of the pairs of parameter values in Figs. 3 and 4 (except for the q-values) at the corresponding locations.
A total of seven pairs of parameter estimates and (modified) standard errors conform to expectations – these are marked in bold in Table 7.
Stage 5: Find the two pairs of parameter values that give the best and second-best results by cross-validation technique.
Consequently, it is necessary to consider two pairs of parameter values (s, a s ) or (m, ΔΦ 0), depending of the theoretical model; that is, one pair for the peak and another for the valley of the curve.
The differences between pairs of parameter estimates were calculated, giving a map of differences between experimental conditions, or contrast image.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com