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With this constraint as the only experimental input parameter, we obtained highly accurate results, with only 2.7%and1.8%.8 % error for growth on glucose and glycerol, respectively (Table 1).
In order to plot the relationship between the data in an intuitive way as a ratio, the ratio and error for growth parameters was calculated by fitting a log-linear model with the strain:media interaction terms and block as the dependent variables using R (R-Project software).
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Table 4 provides parameter estimates and standard errors for growth curve models, in which the empowering ILT of the VET-students was predicted by 'time' (years) in VET, 'supervisors' leadership', and 'teachers' leadership'.
Considering hypothesis 1, Tables 2 and 3 provide parameter estimates and standard errors for growth curve models in which individuals' empowering ILT were predicted by 'time' (years) in Swedish and Danish VET respectively.
The largest forecasting error for GDP growth in the U.S. since 1991 was for the first three "new economy" years of 1997, 1998 and 1999.
This program provided standard error for each growth parameter and r and standard error of fit.
As a result of the number of phenotypic observations, standard errors of rg for growth traits were below 0.1, but much larger for carcass traits for which fewer data were available.
The relative root mean square errors of the model for growth ranged between 0.09 and 0.31.
For growth curves, error bars represent 95% confidence intervals.
We have also pointed out some discordances (in certain standard errors for rates of growth not mentioned above) and a few misprints directly to the author.
National Research (R) for Club for Growth 10/8-9/10; 400 likely voters, 4.9% margin of error Mode: Live telephone interview Club for Growth release.
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