Sentence examples for as a normal distribution of from inspiring English sources

The models described in linear regression models are based on certain assumptions, such as a normal distribution of errors in the observed responses.

We performed appropriate parametric and nonparametric statistical tests when possible using the Kolmogorov-Smirnov test as a normal distribution of the sample.

It can be seen that for the core released cases (left panes in Fig.  5), the histogram generally appears as a normal distribution of speed values with the central velocity gradually separating for the different cases within the same group.

For these techniques, homoscedasticity, as well as symmetry and a normal distribution of the variance, is more important than the correct quantitative ratios between mass spectrometric features, so it is common to either scale or transform the peak intensities prior to the calculation [ 29].

M values were calculated from normalized β values and used as input for ComBat, as it assumes a normal distribution of the data, and the batch effect-adjusted matrix of data was converted back into β values for further analysis.

Engraftment of both Lmna+/+ and Lmna-/ thymic lobes appeared normal, as both supported a normal distribution of DN, DP, and CD4 SP and CD8 SP developing thymocytes (Figure 7C).

I think it's never as simple as right or wrong, there's always a normal distribution of how people will actually do given a particular set of scan results or diagnoses at the very early stage, so antenatally, immediately after birth.

As a T-test assumes a normal distribution of the data we could not apply it here, instead we applied a Wilcoxon signed rank test [37].

Experimental measurements have shown that the shadowing loss can be modeled as a random process with a normal distribution of mean 0 dB and standard deviation between 4 and 12 dB depending on the propagation environment.

These limits of agreement are considered as reliable when there is a normal distribution of these differences [ 15].

This allows for great flexibility in modifying specific parts of the model, such as the rules for chain position or lyase digestion, or in adding new parts, such as the generation of chains from a normal distribution of lengths.