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The curves are the Gaussian best fit for each distribution.
The estimated parameters for each distribution are shown in the Appendix.
The straight lines show the estimated power law relation for each distribution (see text).
The total reduction of ventilation for each distribution is written in the bars.
Number of successful intruders for each distribution without considering distance and velocity parameters.
Next, samples of the client reception coefficients (RCs) are generated for each distribution.
Table 2 shows the co-variance and offset configured in the simulations for each distribution.
For each distribution and (κ,n) pair, 1000 different data sets were simulated.
Still, for more accuracy, one could use different values for each distribution type.
The Chi-square value can be determined for each distribution for a particular return period.
Number of successful intruders for each distribution with considering distance and velocity parameters.
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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