Sentence examples for time lag at which from inspiring English sources

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.

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.

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.

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 time lag at the first local maximum yielded the frequency of the oscillation, which is plotted on the abscissa.

Since an analytically predicted functional form of the autocorrelation results of these simulations was not available, the lag time at which the autocorrelation decayed to half of its maximum value was used as an estimate of the dwell time.

The β coefficient estimates were largest at the 18-month lag time, at which point the total storms variable (which had the most observations) was significantly associated with the number of CFP calls (Wald chi-square statistic = 4.22, p = 0.04) (see Supplemental Material, Table S2).

The time lag τ 0 at which the S 1(τ 0) reaches the sill value is usually called as range, but in practice, it is not rigorously defined.

An absorption time lag was added, which was also allowed to vary across the population.

First, we tried all possible time lags for which our data allow a sample size of at least 20.

The prototype system was evaluated in the case of earthquake prediction studies where the asynchronous visualization of independent observations could allow a timely identification of the spatial correlations appearing at different time lags, which could be missed using other existing 4D Geographic Information System software.