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The residual mean square was used as the error term.
The residual analysis calculated from the Rasch Model showed that the infit mean square was 1.00 (SD = 0.21) and the outfit mean square was 0.90 (SD = 0.35).
EMG data were band pass filtered and the root mean square was obtained.
For instance, a roughness of 1.23 or 205 nm root mean square was measured for 100 bilayer coatings.
The infit mean square was 1.00 with a SD of.40 and a mean of 1.03 with a SD of.31 in the dynamic and static tests respectively.
The infit mean square was 1.00, ranging from.80 to 1.24; while it was 1.01 with a SD of.21 in the static test.
Root mean square was applied to all non-filtered EMG signals before its digital conversion (64 Hz).
Relative mean square was calculated as the mean square of each factor normalized by the sum of mean squares for each spot [33].
The error variance (within people residual mean square) was extracted from an ANOVA analysis.
Therefore only interactions for which the mean square was at least one tenth that of the mean square for replications are discussed.
11 Using these data, the root mean square was calculated, and the data were expressed in microvolts.
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