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The test shows a weak association between the sectors and the regional distribution of experiments.
The temporal distribution of experiments with different types of exposure was analysed.
The distribution of experiments is similar to the distribution of cities in world regions, with 8 experiments in cities in least developed regions (2%), 291 (46%) in less developed ones and 328 (52%) in more developed regions.
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This enables us to interpret topic distributions of experiments—and thus experiments themselves efficiently.
We chose to test observers more extensively because of potential concerns about the stability of model parameters with the relatively small distributions of Experiment 1 (see above and Appendix A).
They correspond to the predicted distribution of future experiments, considering the current model assumptions and uncertainty.
In BPP, the predicted distribution of future experiments is compared to the observed data.
These analyses on the mass distribution of the experiment carrier have moved the project towards viable design options for the capsule/cryostat.
Fortunately, in the current framework such measurements can be used directly since distributions of such experiments can be predicted.
In other words, it is nearly impossible to generate results with MC experiments as power efficient as the ones with FastWISE and NLP. Figure 6 Distribution of feasible MC experiments and its comparison with FastWISE and NLP.
In Figure 6, the probability distribution of feasible MC experiments is given with a fitted Gaussian distribution.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com