RMSERoot Mean Square Error
RMSERocky Mountain Sustainable Enterprises (est. 2005; Colorado)
RMSEResidual Mean Square Error
RMSERelative Mean Square Error
RMSERoyal School of Military Engineering (UK)
RMSERoyal Museum of Scotland, Edinburgh (UK)
References in periodicals archive ?
One issue as noted above in the Data and Methodology section is determining the variance of the RMSE for the 5-fold cross-validation.
Rows (ii) to (xvi) contain relative RMSE for ARDL1, ARDL2, MVAR1, MVAR2, CVAR1, CVAR2, CVAR3, EVAR1, EVAR2, EVAR3, CMVAR, BMVAR, BEVAR, BCVAR, and BCMBVAR models respectively.
Our rolling RMSE estimates are calculated with seven quarters of observations before and after the current quarter.
However, the RMSE and MBE result show that the station Pulau Langkawi gives smallest error values for chow method which can be described as the best result for chow method and for regression method for the station Kota Bharu show that the highest error values for the regression method.
Significantly different patterns can be observed when analyzing the RMSE and MAE results with and without MPC as an additional input to the ANFIS and MRA models for clustered data (Tables 10 and 11).
As can be seen in Tables 5 and 6, the pattern is the same for RMSE and bias, with a statistically significant interaction between sample size, percentage of missing values, and procedure for the treatment of missing values, and a large effect size.
The higher the R2 was and the lower the RMSE value was the higher the precision and accuracy of model to predict winter wheat GPC were.
The minimization of the RMSE is equivalent to find the sinusoidal that minimizes the distance between the data points and the harmonic.
With this strategy, we obtain tables of results with RMSE and overlap rate for 10 different conditions, starting with maximum item exposure control and finishing with no item exposure control.
No multicollinearity problem for using factor and principal component scores together with multiple regression analysis with much lower RMSE values was detected in comparison with stepwise and multiple regressions, with higher RMSE values.
RMSE Third adds four new chapters from its predecessor edition: forensic science, exposure science, neuroscience, and mental health.