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The dimension of the input vector is determined by using the false nearest neighbor approach.
It is calculated by using the false alarm rate and number of features, as shown in (8).
These p-values were then adjusted for multiple comparisons by using the false discovery rate approach (FDR) [26].
The correction for multiple comparisons was performed by using the false discovery rate option in GOstat.
Multiple testing corrections were performed, and the P values were adjusted by using the false discovery rate (FDR) method, with the family-wise error rate of P <0.05.
Correction for multiple comparisons was accomplished by using the false discovery rate method using an alpha of 0.05 and a subroutine within MethLAB [ 28].
Similar(47)
By using the false-nearest-neighbours method, we have argued that the deterministic component of solar wind plasma dynamics should be low-dimensional.
We controlled for multiple tests by using the false-discovery rate method outlined in Benjamini and Hochberg (1995), although none of the results were affected.
Therefore, classification errors were calculated by using the average false positive false negative ratio (which takes the class priors into account), which is defined as: (3) e F P F N = F N T P + F N + F P F P + T N 2 where e FPFN represents the average false positive false negative ratio error, TP the number of true positives, and TN the number of true negatives.
In practice, limits for the STL and GLM methods would be set by using the theoretical false positive rate.
However, the results start to differ if we study the number of elements deemed significant by each method using the false discovery rate of 0.05 as threshold (Fig. 2A).
More suggestions(16)
by using the fake
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