Sentence examples for between two data samples from inspiring English sources

The restoration process was performed between two data samples and hence the first and last data samples have also been considered as regular data points.

For instance, Pearson's correlation coefficient is a standard measure for quantifying correlations between two data samples.

Variance is often used to compare the distributions between two data sets or samples.

That's one hundred data samples you can study each day, and see what worked and what tanked.

A shape-preserving interpolation is applied to estimate the coefficients of the spatial modes between two neighboring data samples.

Due to the spatial-temporal redundancy of the measurement field, the spatial-temporal correlation function between any two arbitrary data samples is assumed as E x ( η 1 ) x ( η 2 ) = ρ s ∥ c 1 − c 2 ∥ · ρ t | t 1 − t 2 | (1).

An SVM-based classification algorithm constructs a separating hyperplane between two classes of data samples like the ones mentioned above with different labels in the input space.

Because these unexpected biases will affect the PCC values, we used a gene-to-gene PCC weighted by the following sample information scores W S. The weighted PCC has been applied to evaluate the relationships between two variables with data samples by unbalance manner, and also used for microarray analyses.

In order to find the best compromise between the data samples and smoothing criteria, two optimization factors for data samples and smoothness (w M and w S, respectively) has been introduced such that Eq. (5) will become: Y i k + 1 = Y i k + w M λ i k - ∂ C i M S E, k ∂ Y i + w S γ i k - ∂ C i M S O, k ∂ Y i (14).

Another key dissimilarity between these two data sets is the difference sampling depths that could be as much as several meters and so generate significant contrasts in tropical regions [9].

Finally, for the Pstart threshold value that yielded the biggest difference between the two data sets, a Welch two sample t-test was carried out in R [ 19] to assess the statistical significance of the observed differences between the true positives data set and the false positives data set.