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Figure 13 shows the possibility distributions of output representing parameter uncertainty through three different model structures.
Uncertainty analysis in estimation of roundabout capacity was performed by using the Monte Carlo sampling and simulation procedure for finding the distributions of output variable values based on the distributions of input data values.
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The Monte Carlo method is used to obtain the probability distributions of outputs (the load effect and resistance) propagated from the uncertainties of the input variables.
There a typical worker would be more than £3,000 better off if the distribution of output between wages and profits had been held at its 1979 level.
A variation on this argument is the question of how a government may intervene to determine the distribution of output between those types of expenditure that contribute to growth and those that lead to the immediate satisfaction of consumer demand.
Fig. 4 Distribution of output points (triangles).
Figure 12 shows the possibility distribution of output representing only parameter uncertainty based on 10,000 samples.
The distribution of output values generated from repeated simulations is analyzed statistically.
The distribution of output of training data is presented in Fig. 8a, b for As III) and As V), respectively.
The distribution of output of testing data is exposed in Fig. 10a, b for As III) and As V), respectively.
The distribution of output of validation data are exhibited in Fig. 9a, b for As III) and As V), respectively.
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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