In statistics the mean squared prediction error (MSPE), also known as mean squared error of the predictions, of a smoothing, curve fitting, or regression...

In statistics, the mean squared error (MSE) or mean squared deviation (MSD) of an estimator (of a procedure for estimating an unobserved quantity) measures...

The root mean square deviation (RMSD) or root mean square error (RMSE) is either one of two closely related and frequently used measures of the differences...

equalizer "Mean Squared Error (MSE)". www.probabilitycourse.com. Retrieved 9 May 2017. Moon and Stirling. Johnson, D. "Minimum Mean Squared Error Estimators"...

in the sense that the least squares approach is related to the mean squared error, the equivalent for mean absolute error is least absolute deviations...

arises in the expression mean squared error (MSE). The mean squared error of a regression is a number computed from the sum of squares of the computed residuals...

The mean absolute percentage error (MAPE), also known as mean absolute percentage deviation (MAPD), is a measure of prediction accuracy of a forecasting...

zero. Percentage error Mean absolute percentage error Mean squared error Mean squared prediction error Minimum mean-square error Squared deviations Peak...

in that the RMS includes the squared deviation (error) as well. Physical scientists often use the term root mean square as a synonym for standard deviation...

true error variance σ2 is replaced by an estimate, the reduced chi-squared statistic, based on the minimized value of the residual sum of squares (objective...

MAE=MAD={\frac {\sum _{t=1}^{N}|E_{t}|}{N}}} Mean squared error (MSE) or mean squared prediction error (MSPE):   M S E = M S P E = ∑ t = 1 N E t 2 N...

used to estimate the population mean μ and population standard deviation σ of the underlying population, while prediction intervals may be used to estimate...

statistic is chi-squared distributed under the null hypothesis, specifically Pearson's chi-squared test and variants thereof. Pearson's chi-squared test is used...

mean. In regression analysis, the term "standard error" refers either to the square root of the reduced chi-squared statistic or the standard error for...

Forecast errors can be evaluated using a variety of methods namely mean percentage error, root mean squared error, mean absolute percentage error, mean squared...

a_{0}=-1} . On the other hand, if the mean square prediction error is constrained to be unity and the prediction error equation is included on top of the...

{Y}}} ? Performance is often assessed using a squared-error loss function. The mean squared prediction error is E ( Y ~ − μ ^ ( x ~ ) ) 2 = E ( Y ~ − μ (...

sum of squares (RSS), also known as the sum of squared residuals (SSR) or the sum of squared estimate of errors (SSE), is the sum of the squares of residuals...

Mean absolute error Mean absolute percentage error Mean squared error Root mean squared error Armstrong, J. S. (1985) Long-range Forecasting: From Crystal...

has a smaller mean squared error. In practice s2 is used more often, since it is more convenient for the hypothesis testing. The square root of s2 is...

In statistics, the mean signed difference (MSD), also known as mean signed deviation, mean signed error, or mean bias error is a sample statistic that...

minimum mean square prediction error), while BIC is not . Haussler et al. (1994) showed that when BMA is used for classification, its expected error is at...

out-of-sample mean squared error, also known as the mean squared prediction error, is substantially higher than the in-sample mean square error, this is a...

difference Mean square quantization error Mean square weighted deviation Mean squared error Mean squared prediction error Mean time between failures Mean-reverting...

continuously distributed, the mean squared error, root mean squared error or median absolute deviation could be used to summarize the errors. When users apply cross-validation...

distribution is the square root of its variance. (For a finite population, variance is the average of the squared deviations from the mean.) A useful property...

regularization Matthews correlation coefficient Mean shift Mean squared error Mean squared prediction error Measurement invariance Medoid MeeMix Melomics...

to determine a good experimental design include integrated mean squared prediction error [4] and distance based criteria [5]. Popular strategies for...

the coefficient of determination, denoted R2 or r2 and pronounced "R squared", is the proportion of the variation in the dependent variable that is...

expected value of the squared deviation from the mean of a random variable. The standard deviation (SD) is obtained as the square root of the variance...