Sentence examples for sample lag from inspiring English sources

Exact(2)

In most cases, successive durations with the standard walker appear not to be related, having a random distribution similar to the data given by other forms of bistable display (see [6] for a sample lag plot analysis with slant rivalry).

In our sample, LAG spacing is variable between different elements within a single individual.

Similar(58)

The medians of the within-individual interquartile ranges (IQR) for the entire study sample on lag 0, lag 0 1, lag 0 2, lag 0 3, and lag 0 4 PM2.5 concentration were 6.38 μg/m, 6.57 μg/m, 5.97 μg/m, 5.83 μg/m, and 6.06 μg/m, respectively, which indicates no substantial variation in the IQRs across the window of exposure.

Including a sampling lag for sCort may also be relevant whenever the focus lies on determining the true maximum cortisol value, for example in the context of quantifying acute exercise stress [33] or in the context of over-reaching [36].

To assess the degree of spatial autocorrelation, the (semi -variogram isemi -variogramat descrises the spatial pattern ofunctionriable withatncreasing inter-sample (lag) describes

Most of the Spearman's correlation coefficients of mosquito captures between consecutive samples (lag = 1) in VC were highly significant (P < 0.01).

Due to lack of statistical power in a small sample, distributed lag models were not considered.

Fluorescence intensities detected in the samples during lag were compared with the intensities of the sample obtained in stationary phase used as the inoculum (time 0).

To test for spatial stability, a Spearman rank correlation coefficient of trap captures between consecutive samples (forward lag = 1) was calculated.

PE sample collection lagged PI sample collection by the hydraulic residence time of the WWTP (4 h), thus it was possible to compute removal efficiency of the compounds by comparison of concentrations in the PE and PI samples (as detailed in the Supporting Information).

where M is a positive integers representing the window length in samples, n is the discrete time samples, m is the discrete lag samples, and k is the discrete frequency.

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