Sentence examples for variability testing from inspiring English sources

Considering the growing adoption of SPL in the industry and crescent demand for SPL testing approaches, this paper introduces a hyper-heuristic approach to automatically derive products to variability testing of SPLs.

Whilst we can have a guestimate ourselves, there is a way to take a more scientific approach via heart rate variability testing.

This software allows data entry, sample size calculation and inter-observer variability testing as well as standardised data analysis.

Intra-observer variability testing revealed an intra-class correlation coefficient of 0.89 (P < 0.001).

Calculating the intraobserver reliability is not feasible, and establishment of the interobserver variability testing of this rare condition requires simultaneous observation by multiple observers that usually is not practical in a rare condition that even in high volume tertiary trauma centers is not routinely encountered.

Information bias including observer bias was reduced by all teams receiving training using experienced ophthalmologists and by having inter-observer variability tested objectively.

'glvary' implements the Gregory-Loredo variability test algorithm.

The Chandra Source Catalog utilizes three variability tests: Kolmogorov-Smirnov, Kuiper, and Gregory-Loredo.

This can lead to a false variability signal from all three variability tests (Kuiper, Kolmogorov-Smirnov, and Gregory-Loredo).

Results from these tests are stored as a probability, p, that the lightcurve in the given band for the indicated variability test is not consistent with being constant (i.e., pure counting noise, modulo source visibility/good time intervals).

To assess the sensitivity of the variability tests, we have (outside of the source catalog pipeline) created a series of simulated lightcurves with differing durations (from 1 ksec to 160 ksec, utilizing 3.214 sec time bins), mean count rates (ranging from 0.00056 to 0.032 counts per second), and variability properties.