Sentence examples for lags at which from inspiring English sources

All lags at which positive associations were found are presented.

LagRSV and lagInfluenza represent the lags at which the strongest association occurred for the individual laboratory series.

The lags at which both the GLM and GAM models predicted the strongest impact of increased turbidity on the rate of GIH events after adjusting for time-varying covariates were marked on the TERS plot.

This graphical model was used to express mathematically the predicted autoregressive structure of the time series data at each level on the basis of interspecific density interactions at adjacent trophic levels [ 12], as well as the time lags at which climate might influence dynamics at each level (see equations (1-4) in Methods, below).

The authors of the paper quote the classification developed by A. Havas, D. Schartinger and M. Weber [46] (Table 2), in which different planned and unintended impacts are gathered depending on the foresight functions in relation to policy-making processes as one of the most important aspects of foresight projects and the time lag at which an impact occurs.

In our experiments, we used a between-subjects design where both groups take multiple tests but the retention intervals are arranged such that one group takes its second test at the same lag at which the second group takes its first test.

In terms of the optimal lead/lag, STING comes closest to being a contemporaneous indicator with a one-month lag (the OECD CLI attains its maximum contemporaneously, but the AUC is much lower), followed by FEDEA (which attains its maximum with a one-quarter lag) and finishing with MICA-BBVA (with a 5-month lag at which point its AUC is virtually identical to STING's).

We set r = 3, i.e. we define the optimal time lag at which to begin tracking potential changes in TB incidence in a population as a response to changes in HIV prevalence as 3 years [38], although r = 2 or 4 would yield rather similar results.

The embedding dimension was taken as the lag at which the number of false nearest neighbors was ≤ 5%.

Ten studies used cross-correlation function to measure the similarity of two curves and to determine the time lag at which the correlation between the datasets is maximized.

To elucidate the spatial lag at which RS becomes more accurate, we plotted the MSEpercentt change as a function of the spatial lag using the second order polynomial regression that fit the MSE changes in a least-squares sense (R = 0.9736).