Sentence examples for accurate representation of data from inspiring English sources

Since the performance of our protocol can be heavily impacted by the distances over which particular data rates can be used, we first needed to make sure that we had an accurate representation of data rate versus distance data for typical 802.11b transceivers.

In addition to accurate representation of experimental data, the data reduction of binary pairs from three ternary systems has been shown to satisfy the triangular rule consistency test.

The comparisons show that inclusion of more of the available experimental data does not necessarily yield a more statistically accurate representation of the data.

The principle of parsimony prefers a minimum number of features for an accurate representation of the data [ 7].

To ensure an accurate representation of the data, 100 imputed datasets were derived, each entailing 20 cycles of regression switching.

5 & 6) A summary of all themes was written and the themes were defined and refined, including merging or renaming themes to ensure accurate representation of the data, alongside the broader existing literature (see Fig.  1).

The high correlation coefficient (r = 0.89) ensured that the UPGMA clustering of the 30 Fagaceae species is an accurate representation of the data matrix, with 36%% total genetic similarity.

While the concentration trends of individual metabolites can be modeled with common curve fitting techniques, a more accurate representation of the data needs to consider effects that act on more than one metabolite in a given sample.

Automated counting was carried out by intensity thresholding, and the criteria set was kept consistent within experiments between conditions and checked thoroughly to ensure accurate representation of the data.

The actual distances calculated and the distances shown on the dendrogram were compared by Pearson product-moment correlation (cophenic correlation) to ensure that the dendrogram gave an accurate representation of the data.

Unlike conventional clustering of the inverse weight matrix which requires adding some noise and produces a hierarchical structure that does not strongly correlate with the input, the set of borders computed by our method is an accurate representation of the underlying data (see Text S1).