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GARCH model is frequently used to forecast the variance of time series.
where μ τ and σ τ 2 are the mean and the variance of time difference τ, respectively.
The systematic statistical analysis of trends is an important way to make more valid Futures Maps from the point of view of criterion 4. Statistical methods - e.g., regression analysis – are effective ways to analyze the variance of time series of futures relevant variables.
Combined, these predictors explained 24.3% of the variance of time off work (F=9.75; df=7, 213; p<0.001).
In combination, these predictors explained 18% of the variance of time off work (F = 2.34, df = 7 77, p < 0.05).
Moreover the increasing number of prokaryotic genomes available has facilitated the detection of HGT through more accurate detection of orthology, paralogy, and monophyletic groups, and the concatenation of gene and protein sequences has helped increase the confidence of nodes and decrease the variance of time estimates [ 14, 16, 18, 19].
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The variance of time-to-peak of the Ca2+ transients was significantly increased in unloaded cardiomyocytes (UN 227.4±24.9 ms, n=42 vs. C 157.8±18.0 ms, n=40; P<0.05).
The variance of time-to-peak of the Ca2+ transients was significantly increased in unloaded cardiomyocytes (UN 227.4±24.9 ms, n=42 vs. C 157.8±18 ms, n=40; P<0.05), suggesting that the synchronicity of Ca2+ release was disrupted (Fig. 2 ).
In the present study the variance of the time averaged intensity extracted from the variance of the time integrated measured intensity, I = I || + I ⊥, is analyzed with arbitrary bin widths in the time limit where fluctuations are not averaged out.
That is, the variance of the time averaged intensity is a direct measure of the self-similarity of a time series intensity described by τr.
Then the variance of average time to 'cure' is given by: and the 95% confidence interval around average time to 'cure' is given by a standard Normal approximation:.
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