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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, ranging from.80 to 1.24; while it was 1.01 with a SD of.21 in the static test.
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.
Similar(44)
Noise is the random Gaussian noise whose zero mean square is 0.2.
(i) The almost sure synchronization control other than synchronization in mean square is investigated.
The calculation method of surface parameter including rigid body displacement, surface focus and root mean square is researched.
In addition, the stability in mean square is developed for the above mentioned stochastic dynamical systems in the G-frame.
The mean square is simply calculated by the division of SS to the corresponding DF (Eq. 13).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com