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Two-way repeated-measures analysis of variances (Time (prematch, postmatch, 24 vs 48 h)×Condition (COOL vs HOT)) were used to compare torque and muscle activation data for each muscle group (KE and PF) and time window (0 30, 0 50, 0 100 and 0 200 ms) independently for absolute and relative changes.
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The charts with variances normalized to 1 sample, (i.e., variance times the number of samples), and variances times cost (i.e., inefficiencies) for specific costs as described in the Appendix C, and averaged for 100 runs are shown in Figs. 2 and 3 for samples count from 35 to 5000.
The accuracy of the algorithm is evaluated by means of computer-based simulations, recurring to several Hurst parameter estimators, namely Variance Time (VT) and the Wavelets-based estimator.
The penta- and hexanucleotide markers analysed were relatively more clock-like in their behaviour (α = 0.5 1.7, Table 4) than the tri- or tetranucleotide loci in their variance time series.
A three-way analysis of variance (time × temperature × altitude) with repeated measures was used to compare exercise data.
A two-way analysis of variance (time × exercise), with repeated measures was performed, separating the exercise and recovery periods (Graphpad Prism 6.0, California, USA).
C-reactive protein differed over time in the antioxidant (AOX) and placebo groups (two-factor repeated analysis of variance: time effect P < 0.0001, group effect P = 0.039, and interaction (time*group) P = 0.16 to not significant [NS]).
However, this pattern of increased variance in divergence time estimation was not seen in analysis of the M segment.
(iv) Variance over Time . Variance over Time.
Figure 7 Variance-time plots from CH1 CH4 of the hydrophone line array.
In Section 3, we analyzed the self-similarity of the multi-channel hydrophone data sequence by variance-time plot.
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