Exact(3)
We estimated time trends from observed time series and used spatial smoothing methods to borrow strength between observations.
Identification of statistical patterns from observed time series of spatially distributed sensor data is critical for performance monitoring and decision making in human-engineered complex systems, such as electric power generation, petrochemical, and networked transportation.
Any effective method for this task needs to be able to filter out all possible quantitative information from observed time series and convert it into mathematical features that reliably characterize the true topology of the network, as well as its regulation.
Similar(57)
From the observed time structure of pulsed beams, further improvement of a chopper system was shown to be required to accomplish single fine pulses necessary for PALS.
However, solubility coefficients computed by dividing the experimental permeability by the diffusivity obtained from the observed time lag increased with SiO2 content contrary to simple composite theory.
However, the detailed time course predicted still deviates from the observed time profiles, notably the sharp temporal changes of the transient appearance of Ngn3 and Pax4 (Fig. 5B).
The maximum (Cmax) and minimum (Cmin) plasma concentrations and time to reach Cmax (Tmax) were obtained from the observed time- C p profile.
To create time series for the null models, bootstrapping was used to construct from the observed time series, control datasets, which share properties of the original series under the following null hypothesis: the variability of the observed time series or the association between two time series is not different to that expected from outbreaks independent of the rainfall trend.
If the average values of pack size (8.24), number of packs (3.7), temperature (0.10), and snow (190.4) from the observed time series are used, then the equilibrium points of the lower and upper regime of the non-linear model and of the linear model are approximately 11, 36, and 20 wolves on the raw scale, respectively (Table 1).
In such an approach, unlike the classical one based on stochastic processes, statistical functions and probability concepts are defined starting from a single observed time series instead of an ensemble of realizations of a stochastic process.
Area under the concentration curve values were extrapolated from the last observed time point to infinity by adding the last measured concentration divided by λz.
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