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A value of this criterion could represent a big number of different entries.
As the value of this criterion approaches zero, the better fit between observed and modeled data is obtained.
We calculate the value of this criterion, F ̂ ( ω m, τ n ), for each time-frequency region (ω m ×τ n ), so as to measure whether (ω m ×τ n ) contains the most discriminative information.
The positive predictive value of this criterion was only 50% in the study of Curtin et al (1998).
The few papers reporting pathological responses tend to confirm the prognostic value of this criterion [ 4, 59- 61].
The P value of this criterion is <10-16 <10-16 the binomial distribusing on randomized autheorrelation data, which distribinomialproximately normally with mean ~0 andistributioneviation ~0.01).
Similar(54)
Here smaller values of this criterion indicate more adequate statistical models.
The majority of metrics, including all metrics in this paper, are dependent on the value of this cutoff criterion χ since this criterion defines which compounds are predicted to be active and non-active.
An increase in the polymer solution flow rate increases the value of this mixing criterion, resulting in smaller nanoparticles.
If the value of the criterion is preferred when increasing, it is a benefit criterion.
Thus, it is possible to affect at any value of the criterion a probability.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com