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mean-squared error

См. также в других словарях:

  • Mean squared error — In statistics, the mean squared error (MSE) of an estimator is one of many ways to quantify the difference between values implied by a kernel density estimator and the true values of the quantity being estimated. MSE is a risk function,… …   Wikipedia

  • Mean squared error — Zwei Schätzfunktionen: Die Wahl einer verzerrten Statistik kann hinsichtlich ihrer erwarteten Abweichung vom echten Wert gegenüber einer unverzerrten vorteilhaft sein. Die mittlere quadratische Abweichung oder mittlerer quadratischer Fehler (engl …   Deutsch Wikipedia

  • Mean percentage error — In statistics, the mean percentage error (MPE) is the computed average of percentage errors by which estimated forecasts differ from actual values of the quantity being forecast. Formula for mean percentage error calculation is: where at is the… …   Wikipedia

  • Mean absolute error — In statistics, the mean absolute error (MAE) is a quantity used to measure how close forecasts or predictions are to the eventual outcomes. The mean absolute error is given by As the name suggests, the mean absolute error is an average of the… …   Wikipedia

  • Mean squared prediction error — In statistics the mean squared prediction error of a smoothing procedure is the expected sum of squared deviations of the fitted values from the (unobservable) function g. If the smoothing procedure has operator matrix L, then The MSPE can be… …   Wikipedia

  • Mean integrated squared error — 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 by where ƒ is the unknown density, ƒn is its estimate based on a sample of n iid random… …   Wikipedia

  • Minimum mean square error — In statistics and signal processing, a minimum mean square error (MMSE) estimator describes the approach which minimizes the mean square error (MSE), which is a common measure of estimator quality. The term MMSE specifically refers to estimation… …   Wikipedia

  • Mean absolute scaled error — In statistics, the mean absolute scaled error (MASE) is a measure of the accuracy of forecasts . It was proposed in 2006 by Australian statistician Rob Hyndman, who described it as a generally applicable measurement of forecast accuracy without… …   Wikipedia

  • Root mean square deviation — The root mean square deviation (RMSD) ( also root mean square error (RMSE) ) is a frequently used measure of the differences between values predicted by a model or an estimator and the values actually observed from the thing being modeled or… …   Wikipedia

  • Arithmetic mean — In mathematics and statistics, the arithmetic mean, often referred to as simply the mean or average when the context is clear, is a method to derive the central tendency of a sample space. The term arithmetic mean is preferred in mathematics and… …   Wikipedia

  • Mean square quantization error — (MSQE) is a figure of merit for the process of analog to digital conversion. As the input is varied, the input s value is recorded when the digital output changes. For each digital output, the input s difference from ideal is normalized to the… …   Wikipedia

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