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Indeed, an experiment can involve a lot of observations, but if they are highly clustered, or correlated to one another, then the true sample size might actually be quite small.
Flat field images are taken through a dummy cell assembly, which has identical pressure medium to the true sample assembly, but with the sample removed.
Using the reference materials named in Fig. 5, we estimate the true sample temperatures as a function of our measured furnace temperatures for the heating and cooling ramps.
The results reveal that both models may capture some insights of the overall variability of the true sample, in terms of the location and amplitude of the oscillations of the functionals in direction Y.
If these data are well described by a positive linear relationship, then a Klinkenberg effect is observed and the true sample permeability is taken as the intercept of the linear regression that describes the data.
The true sample permeability is given by (k_{text{klink}})—the y-intercept of the best-fit linear regression on the plot of (k_{D}) as a function of (1/P_text{{m}}).
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However, the main advantage of utilizing a prior model for the fraction defective is not necessarily reduced sample size but improved assessment of the true sampling risks.
Second, the true samples for one child node are also propagated to the other child node as false samples.
For this article, the split criterion used was the total log likelihood increase of the true samples.
Therefore, the question is selected and subsequent split is achieved differently as shown in Figure 3. First, only the true samples are required to answer the question and the false samples are propagated to both child nodes.
Therefore, fixing a very high value of threshold may not blank all the IN-affected signals, and a very low value of threshold may blank the true samples [6].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com