Sentence examples for systematic variability from inspiring English sources
Subsequently, exploratory evaluation of data using PCA was carried out in order to study systematic variability in the data, relationships among variables and objects, and their correlations and to detect outliers.
Travel times are affected both by systematic variability (traffic condition in the different time slices) and stochastic variability (unforeseen events, such as accidents or maintenance operations).
There was substantial intrasubject systematic variability in CBF of gray matter ROIs corresponding to a range of standard deviations = [39 168] (ml/(100 g min)).
Traditional analyses of our experiment, whose design affords control over a range of confounds and allows us to disentangle the three effects, affirms all three as fundamental causes of systematic variability in recognition accuracy.
By means of a reanalysis of published data (Schreuder & Baayen, 1997), using random regression models, we present a proof of existence of systematic variability between participants that is ignored in the standard psycholinguistic analytical procedures.
Using an RNA standard curve that was also subject to RT effectively normalized for this systematic variability, but the assay accuracy depended critically on the length of the standard RNA extending to the 3' end of the qPCR target site.
All 96-well plates included a commercial RNA standard to control for systematic interplate variability.
With the modifications to our MMI procedure we accomplished a gain in systematic candidate variability, a reduction in costs per candidate, and a substantial improvement of the operational procedure.
The information adopted are link travel times, that can be deeply influenced by systematic and stochastic variability.
For example, in our systematic review, the variability in functional outcome measures reported across studies made a pooled analysis possible for only American Shoulder and Elbow Surgeons and Constant Murley scores.
Precisely, we propose here a systematic treatment of variability which involves a strong link between micro- and macroscales and provides a more exhaustive analysis of the influence of uncertainties.
