# root mean square

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## root mean square

Maths the square root of the average of the squares of a set of numbers or quantities

## RMS

(1) (Record Management Services) A file management system used in VAXs.

(2) (Root Mean Square) A method used to measure electrical output in volts and watts.
References in periodicals archive ?
[chi square] = chi square, df = degrees of freedom, SRMR = standardized root mean square residual, RMSEA = root mean square error of approximation, GFI = goodness-of-fit index, CFI = comparative fit index.
Results Train Test Overall MSE 79671.423 253835.159 114918.846 RMSE 282.261 503.821 338.997 NRMSE 0.045 40.908 18.520 MAE 196.618 352.406 228.146 MAPE 47.503 136.486 65.512 MSE: mean square error; RMSE: root mean square error; NRMSE: normalized root mean square error; MAE: mean absolute error; MAPE: mean absolute percentage error
Table 3 shows that forecasts from the break model dominate those from the PMI model according to mean forecast error, mean absolute forecast error, root mean square forecast error, and Theil-U.
The performances of the optimal model were evaluated according to root mean square error of calibration (RMSEC).
Caption: Figure 3: Root mean square error for the delay in chip time [T.sub.c] vs.
The root mean square residual (RMR), the standardized SRMR and root mean square error of approximation (RMSEA) were .00476, .00476, and 0.0, respectively.
Mustapha and all describe the use of Root Mean Square Deviation (RMSD) techniques in the structural health monitoring of composite structures.
Root mean square error of approximation (RMSEA) The RMSEA (Steiger, 1980) is a widely used fit measure in structural equation modeling:
The root mean square error of the traditional TOA localization method is 1.131, the root mean square error of the TOA fingerprinting localization method without particle filtering is 0.693, and that of the TOA fingerprinting localization method based on particle filtering is 0.563.
The dimension parameters are the square root of amplitude, root mean square, mean value, and peak value, which are defined as follows [35]:
Similarly, root mean square error (RMSE) is the measure of average magnitude of the error.

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