Sentence examples for outlier threshold from inspiring English sources

One control sample that clearly belongs to the non-outlier group was called an outlier, but was very close to the outlier threshold.

Table 2 Phone accuracies (percent) from using different outlier threshold values for the compressed template representatives Threshold tσ 1σ 2σ 3σ ∞ Accuracy 73.95 74.32 73.42 70.89.

The upper part of Table 3 sets out results if the threshold for exceedance rates is set at 0.7, and that for standardised measures set at 2. The latter threshold is a lower outlier threshold for standardised measures mentioned by Wilcox (2016).

With this consideration, within 30 ms of the laser onset, candidate EPSCs are declared eligible only if the convolution traces remain below the outlier threshold, but exceed the detection threshold.

Therefore, the convolution traces within this window are compared to an additional (outlier) threshold, e.g. chosen as μ+4σ, where μ and σ are defined as above, and potential EPSCs whose convolution traces exceed this threshold are dismissed (see Figure S2).

Again, a 99.9% outlier threshold was applied to identify outlying W statistics that identify regions with a likely selection signature.

The thresholds and control the tolerance to outliers; therefore, typical advice for outlier thresholding applies.

Outlier thresholds involve comparing the observed data with its own empirical distribution, thereby guaranteeing that a specified proportion of the data is identified as candidates for selection.

One way in which studies are coping with over-fitting is to increase outlier thresholds (e.g. from log2ratio = 0.2 to 0.3) or to require a certain minimum proportion (say 33%) of tumours to share a particular aberration.

In general, simulations such as the one performed here are analyzed using outlier-thresholds to identify potentially selected sites, e.g. [ 24].

Before fitting, relative abundances were first arcsine square-root transformed, filtered for outliers using the Grubbs outlier test (significance threshold 0.05), and standardized to have zero mean and unit variance.