Sentence examples for time span of data from inspiring English sources

It shows that the longer the time span of data, the larger the RMS crossover differences.

Other than the vehicle license plate, the data sources differ in the type of variables collected and in the time span of data collection.

With all this in mind, the aim of the study reported here was to investigate the variations of Sq at LIV using the data corresponding to quiet days taken from the whole time span of data.

In order to find out whether the coseismic gravitational signals could be detected by a shorter time span of data, we calculate the gravity and gravity gradient changes with only 1-month observation after the synthetic earthquake (i.e., April 2009) for the test.

The end constraints have less influence on the lower degrees (for example, see the SA norm truncated at (n=6)), but a longer time span of data is certainly required in order to better determine the high-degree ((n>9)) SA in 2015.

The estimated B-splines exhibit very moderate accelerations (in the case of the full model, see Fig. 6), and it may be possible to simplify the parameterisation of the time dependence in future models, e.g. to an exponential saturation in time as this is the expected behaviour of the VFM instrument sensitivity; however, an exponential model is ill-conditioned on the time span of data used here.

We recaptured and obtained data from thirteen animals from March to July 2009 and time spans of data collection varied between ten days and 100 days.

As we aim to test a sentiment-based portfolio strategy over as many business cycles as possible, the choice of search engine data would severely limit the time span of our data set.

The robustness of the analysis is also studied by applying the calibration models to data collected outside of the time span of the data used to compute the models.

Pleft xge {x}_{mathrm{crit}}, t=Delta tright)=1-{e}^{-Nfrac{Delta t}{tau }Pleft xge {x}_{mathrm{crit}}right)} (4 where N is the number of events in the data set and τ is the total time span of the data set.

For the disease simulations on the 7-day and 14-day infection networks, a run of 100 steps was used, as this gave effective time spans that covered several infectious periods (at least 14 and 7, respectively), but less than half the time span of the data, allowing the possibility that some epidemics will be completed before reaching the end of the data.