a] data SSPE, Ratio of prediction error squared to kriging variance; ME, mean error; RMSE,

root-mean-square error Fixed effects Estimates Standard t Prob.

2], and the

root-mean-square error, RMSE) for both cases were: (i) MDT data with solar time: [r.

For each trial, we calculated the root-mean-square error between the target and the actual position of the virtual object.

For the final trials, there was no longer any significant difference between groups in root-mean-square error (Figure 7; p = 0.

The root-mean-square error [8] between the input and output image is defined as:

Operators\Factors for Comparison Contrast Edge Noise Map Content Sobel Operator B B +1 Roberts Operator C C +1 Prewitt Operator B B +1 Laplacian Operator D D +2 Laplacian of Gaussian Operator C B -1 Fuzzy Gaussian Filter C B -1 Proposed Operator B B +1 Table 3: Comparision of Root-Mean-Square Error.

78, and the

root-mean-square error of approximation equal to 0.

Further, inclusion of the variance of income as the measure of income uncertainty reduces the root-mean-square error of the base projection by an average of 33 percent.

In order to bring additional evidence to bear, the root-mean-square error was computed over January 1929-October 1930 for the base projection and the base projection plus the contribution of income uncertainty.

20 SCIENCE geophysicists report that estimates of the earth's pole position made by satellite laser ranging (SLR) and very long baseline interferometry (VLBI) differ by about 2 milliseconds (msec) of arc, or about 6 centimeters, indicating that this is the maximum total

root-mean-square error for both techniques together.

2], standard

root-mean-square error (SRMSE), and relative

root-mean-square error (RRMSE) were calculated to evaluate the accuracies of the five tracking algorithms in comparison with the CC baseline [22,33].

From sampling data, we calculated total trial time, boundary violations that occurred when subjects drove outside the path, and the

root-mean-square error (RMSE), defined as the average deviation from the center of the wheelchair path measured in pixels starting at the center point of the body of the wheelchair icon and following the shortest distance to the path midline.