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Active corrosion was examined in this study by calculating backwards the age of the building and the initiation time by carbonation from a large condition assessment data from concrete facades and balconies using statistical simulation methods.
They are statistical simulation methods based on random sampling.
In this paper we compare, using statistical simulation methods, the performance of geographically resolved model data at 5 km × 5 km resolution with area-wide average concentrations derived from a number of air pollution monitors.
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Figure 2b,c shows the large-scale statistical simulation method of RDF on the channel region.
A Monte-Carlo simulation was then developed as statistical simulation method to obtain the probability distributions of the entry capacity at roundabouts.
Where statistical simulation is defined in quite general terms as a method that utilizes sequences of random numbers to conduct the simulation, we can loosely determine them as a statistical simulation method.
A quantitative model and statistical simulation method captures the diversity of metabolic states observed in tumor and proliferating cells.
These models are employed in statistical particle simulation methods such as the direct simulation Monte Carlo (DSMC) technique.
Figure 2 The large-scale statistical device simulation method of RDF on the device's channel region.
The performance of various statistical or computational simulation methods on pair-designed microarray datasets was not sufficiently evaluated [ 27, 28].
With the existing systems in perspective, we present a discrete-event driven paradigm - modeling a composite system by combining the state variables in the time-space domain as events and determining the immediate dynamics between the events by using statistical analysis or simulation methods.
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