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Section "Time series models for prediction" gives a detailed explanation of the various time series models.
Each cluster consists of various time series objects that are similar in nature.
To capture the short term dynamics of the return distribution, and the long run equilibrium relationship between the stock markets, the present study uses various time series techniques.
In order to validate the proposed approach we have conducted a suite of experiments on various time series, both synthetic and real-world.
There is general agreement between the various time series, except for the fact that there is an offset of about 0.8 °C in the DH and CW temperature data, compared to iMET temperature data and −15% in the DH humidity data, compared to the iMET humidity data.
The approach links the observables to the model counterparts via a flexible specification which does not require the model-based component to be located solely at business cycle frequencies, allows the non-model-based component to take various time series patterns, and permits certain types of model misspecification.
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The obtained photon counts history was subjected to various time-series analyses.
We use a mixed methodology with a quantitative analysis of various time-series and an in-depth qualitative case study, which traces interactions between problem-related pressures and industry responses.
Using this method, we detected a deterministic structure, an attracting fixed-point, in various time-series, both in vitro and in vivo.
Other surveillance approaches include Bayesian Networks, rule-based analysis, and various time-series methods [ 60].
Power calculations were conducted for scenarios chosen to represent a range of pollutant-outcome combinations of interest, various magnitudes of effect, and various time-series lengths and mean daily outcome counts.
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