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The term c n i ( i ) is the n i th mean of class i.
where μ i is the mean of class i and μ is the mean of all such means.
The sample mean of class Ω k is given by μ k ̂ = 1 S k ∑ n = 1 S k ζ k, n (8).
This indicates that the average Criterion® score for each class at Time 1 differed by 0.18 points (e.g., if the mean of Class A the best class was 3.76 [see Table 7], the mean of Class B was 3.58 [3.76 − 0.18]).
Where x i j is the i th sample of class j, μ j is the mean of class j, c is the number of classes, and N j is the number of samples in class j.
For a mean of class (C^{2}) (i.e., twice differentiable on ((0,infty )times (0,infty )) with continuous second derivative), we can give a direct proof of the previous lemma without refiring to the general result of [16] stated for general positively homogeneous functions.
Similar(52)
Second, since TMP/SMX is the mainstay therapy for S. maltophilia infections, the mobilization of sul genes by means of class 1 integrons and IS CR elements is likely to increase with TMP/SMX consumption.
The mean AWI of class 3 was significantly lower than the general mean.
We calculated the mean number of Class 1 events per 500 Kb of unique sequence (for definition of unique sequence, see Materials and Methods).
Once the classification is performed, we then attack the different classes by means of class-specific methods.
In Phase 1, the N training samples/spectra are first centered on the mean of each class and stacked in the form of a matrix X (N × K).
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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