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

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

processes. Root mean square Mean absolute error Average absolute deviation Mean signed deviation Mean squared deviation Squared deviations Errors and residuals...

to the mean squared error, the equivalent for mean absolute error is least absolute deviations. MAE is not identical to root-mean square error (RMSE)...

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

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...

statistics, the reduced chi-square statistic is used extensively in goodness of fit testing. It is also known as mean squared weighted deviation (MSWD)...

In statistics, the mean integrated squared error (MISE) is used in density estimation. The MISE of an estimate of an unknown probability density is given...

may be known as mean square deviation. When the reference value is the assumed true value, the result is known as mean squared error. A typical estimate...

estimator may have a lower mean squared error than any biased estimator (see estimator bias). A function relates the mean squared error with the estimator bias...

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

mean (Tofallis, 2015). Relative change and difference Mean absolute error Mean absolute percentage error Mean squared error Root mean squared error Armstrong...

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

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...

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...

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...

Squared deviations from the mean (SDM) result from squaring deviations. In probability theory and statistics, the definition of variance is either the...

the Mean absolute error divided by the Mean Absolute Deviation. Mean squared error Mean absolute error Mean absolute percentage error Root-mean-square deviation...

accuracy is very closely related to the mean squared error (MSE) method which is just the average squared error of the forecasts. Although these methods...

statistical mechanics, the mean squared displacement (MSD, also mean square displacement, average squared displacement, or mean square fluctuation) is a measure...

average squared difference between two signals. Unlike the maximum error, mean squared error takes into account the overall magnitude and spread of errors, offering...

estimators more accurate on average (that is, having lower expected mean squared error) than any method that handles the parameters separately. It is named...

y_{n})\}} . We make "as well as possible" precise by measuring the mean squared error between y {\displaystyle y} and f ^ ( x ; D ) {\displaystyle {\hat...

population standard deviation. However, the correction often increases the mean squared error in these estimations. This technique is named after Friedrich Bessel...

arbitrarily crude estimator into an estimator that is optimal by the mean-squared-error criterion or any of a variety of similar criteria. The Rao–Blackwell...

}})^{2}.} An Estimator found by minimizing the Mean squared error estimates the Posterior distribution's mean. In density estimation, the unknown parameter...

calculated by finding the mean squared error. More formally, let T be an estimator for the parameter θ. The mean squared error of T is the value MSE ⁡ (...

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...

finding the filter coefficients that relate to producing the least mean square of the error signal (difference between the desired and the actual signal)....

estimator gives a lower value of some loss function (particularly mean squared error) compared with unbiased estimators (notably in shrinkage estimators);...