Sentence examples for data diminishes from inspiring English sources

Classically, we think that the intensity of autocorrelation of time series data diminishes with more distant lags.

The accuracy of self-reported data diminishes with time elapsed.

The large sample of routinely collected data diminishes potential selection bias which may result from identification of patients in private practices, hospitals or from clinics specialised in diagnosis and treatment of sexually transmitted diseases, particularly if the identification of patients was based on a convenience sample of private practices or hospitals [ 8, 10, 11].

We found that phases not picked in training data diminish the detection capability of the neural network and proper preparation of training data is therefore fundamental.

NSA is able to effectively discover the normal regions and uses them to scale the data diminishing any bias that appears in the normalization step.

With the exception of Chilopda and Hexapoda, most RF distances between the combined data and the unpaired data diminished, whereas RF distances between the combined data and the paired data often increased (cf. Figure 6 and Additional file 3 Table S4 and S5).

In contrast, and consistent with the receptor-arrestin proximity and dose-response data, diminished arrestin-ubiquitin proximity was observed in the presence of the stimulated OX2 Δ406-Δ427 mutant, with the BRET signal returning to baseline levels sooner than with OX1 or OX2 receptors.

The number of possible chemical reactions grows exponentially with the number of chemical species, which makes difficult to select reactions that uniquely describe the data and diminishes the efficiency of the methods.

That means the information you can extract from any big data asymptotically diminishes as your data volume increases.

However, leaving room for doubt and misinterpretation among a broader audience with varying levels of data expertise diminishes the analyst's hard work and harms the overall business.

Without financial and political backing, data-driven policy changes become impossible, and the value of results data is diminished.