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Results: We demonstrated (1) estimation of variance components, (2) use of these estimates for improving allocation of costs within the experiment, and (3) use of these estimates for determining the optimal number of replicate measurements.
The relative amplitude and severity of HFMD epidemic vary according to different causative viruses and different geographical regions, so cut-off points of the slope estimates for determining these three categories may be chosen to suit local circumstances.
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If, we can easily establish the following estimate for determining the memory length, providing the required accuracy [4]: (2.20).
The rate of decrease in advanced cancers is an estimate for determining prostate cancer (PCa) screening program effectiveness.
Since the percentile bootstrap CIs can be asymmetrical because they are based on an empirical estimation of the sampling distribution of the indirect effect, a correction is applied to the percentile values of the sorted distribution of bootstrap estimates used for determining the bounds of the interval.
We estimate hyperparameters for determining the prior probability using experimental data; these hyperparameters are part of the released software and do not have to be retrained for applying the method.
It is interesting that this was achieved even though children's intake of porridge was only about half the estimate used for determining the micronutrient levels in the richly-fortified porridge.
Therefore, the error due to linear approximation was estimated through experimentation for determining the points of action of an external force on Surface 1, as shown in Figure 11.
Some methodological aspects require further research, for example improvement of error estimates, better methods for determining proper relative weights when mixing datasets, and methods to account for the variability in component mass spectra.
Therefore, we can take homogeneity in coupling coefficient estimates as a criterion for determining the true estimates of the angles and coupling coefficients, i.e., we take a set of K angle estimates associated with K identical coupling coefficient estimates as the true estimates.
An important point in which GPR differs from linear regression, is that the method assumes a probability distribution over the set of functions to be estimated, which allows for determining families of regression functions with specific functional forms.
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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