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A paired t test should be used for dependent data.
Hence, Hawkes processes as defined in (17) cannot model nonstationary data, but can model dependent data.
Hence, a graphical representation must be provided to visualise time dependent data.
For dealing with weakly dependent data, bootstrap and blockwise are well known.
Settlements are time dependent data, which are usually measured in irregular time periods.
It is desirable to integrate this knowledge into models defining geographically dependent data.
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Frequency-dependent data weighting.
In addition, spatially-dependent data were treated as independent in the analysis.
This time-dependent data series is non-stationary and may result from nonlinear processes.
Firstly, these annual time-dependent data are segmented into 365 daily intervals.
Thus, agglutination induced by the IDG-I fraction was Ca2+-dependent (data not shown).
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