Mean Percentage Error
Encyclopedia
In statistics
Statistics
Statistics is the study of the collection, organization, analysis, and interpretation of data. It deals with all aspects of this, including the planning of data collection in terms of the design of surveys and experiments....

, 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 actual value of the quantity being forecast, and ft is the forecast.

See also

  • Percentage error
  • Mean squared error
    Mean squared error
    In statistics, the mean squared error 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, corresponding to the expected value of the squared error loss or...

  • Mean squared prediction error
  • Minimum mean-square error
    Minimum mean-square error
    In statistics and signal processing, a minimum mean square error estimator describes the approach which minimizes the mean square error , which is a common measure of estimator quality....

  • Squared deviations
    Squared deviations
    In probability theory and statistics, the definition of variance is either the expected value , or average value , of squared deviations from the mean. Computations for analysis of variance involve the partitioning of a sum of squared deviations...

  • Peak signal-to-noise ratio
    Peak signal-to-noise ratio
    The phrase peak signal-to-noise ratio, often abbreviated PSNR, is an engineering term for the ratio between the maximum possible power of a signal and the power of corrupting noise that affects the fidelity of its representation...

  • Root mean square deviation
    Root mean square deviation
    The root-mean-square deviation is the measure of the average distance between the atoms of superimposed proteins...

  • Errors and residuals in statistics
    Errors and residuals in statistics
    In statistics and optimization, statistical errors and residuals are two closely related and easily confused measures of the deviation of a sample from its "theoretical value"...

The source of this article is wikipedia, the free encyclopedia.  The text of this article is licensed under the GFDL.
 
x
OK