Sentence examples for multiple data series from inspiring English sources

Independent component analysis (ICA) is a method that separates multiple data series into independent data series.

Principal component analysis (PCA) is a method that transforms multiple data series into uncorrelated data series.

Multiple data series (overlays) are supported with the ability to highlight an individual data series via its legend key. Figure 1 illustrates the above described concepts and relationships.

A Bayesian approach may offer advantages in accounting for uncertainty in estimated parameters, as has been recently demonstrated in an application of empirical Bayes methods for the surveillance of multiple data series using statistical process control methods [ 8].

If you are comparing parts to the whole when you have multiple data series, you may wish to use Excel's doughnut chart options instead of a pie chart.

Time delay embedding is used to project the data series into multiple dimensions of a phase space.

The simulations are rigorously validated based on multiple data streams obtained from a series of six experiments on exposed base plate connections.

Specific computational techniques covered include: text mining, time series analysis, multiple data streams methods, ensembles of surveillance methods, spatial analysis and visualization, social network analysis, and agent-based simulation.

Study strengths are: the use of population-level data collected over a long time period, with a large sample of adult smokers; the use of a time-series approach with multiple data points before the intervention; and the inclusion of important time-related and sample-related potential covariates.

As recommended in a recent review of the plain packaging literature, 5 the use of a time-series approach with multiple data points before the intervention increased the power to detect any effects over and above the long-term background and seasonal trends, and the inclusion of important time-related potential covariates decreased threats to the validity of the findings.

The significance of Fisher's and Pearson's tests was adjusted for multiple testing according to Bonferroni method within corresponding data series.