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Error mean of square follows the same procedure.
Mean square error (MSE): mean of square errors between estimated prediction error degrees and their true degrees .
Mean square error (MSE): mean of square errors between estimated prediction error degrees and their true degrees.
A standard curve was plotted of phenol concentration (%, v/v) against the mean of square diameter of inhibition zone.
The time domain variables included the standard deviation of all normal R-R intervals (SDNN) and the root mean of square of successive differences between adjacent normal NN intervals (r-MSSD).
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Gupta and Choi (2005) proposed the Square-Root-of-Mean-of-Squares (SRMS) method which employs a limited Monte Carlo simulation to evaluate the design response of the secondary system statistically.
SS and MS stand for Sum-of-Squares and Mean-of-Squares, respectively.
Adjusted mean of squares.
Mean of squared deviations within levels.
Mean of squared deviations between levels.
Korany et al. [16] compared experimental and predicted response factor values, mean of squares error (MSE), average error percentage (Er %) and squared coefficients of correlation (r2).
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