- In statistics,
mean absolute error (MAE) is a
measure of
errors between paired observations expressing the same phenomenon.
Examples of Y
versus X include...
- The
error of an
observation is the
deviation of the
observed value from the true
value of a
quantity of
interest (for example, a po****tion
mean). The...
- 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
standard error (SE) of a
statistic (usually an
estimator of a parameter, like the
average or
mean) is the
standard deviation of its
sampling distribution...
- 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...
-
signal processing, a
minimum mean square error (MMSE)
estimator is an
estimation method which minimizes the
mean square error (MSE),
which is a
common measure...
- The
mean absolute percentage error (MAPE), also
known as
mean absolute percentage deviation (MAPD), is a
measure of
prediction accuracy of a forecasting...
- In
statistics the
mean squared prediction error (MSPE), also
known as
mean squared error of the predictions, of a smoothing,
curve ****ing, or regression...
- is zero.
Percentage error Mean absolute percentage error Mean squared error Mean squared prediction error Minimum mean-square
error Squared deviations...
- with
variance σ 2 {\displaystyle \sigma ^{2}} , the
standard error of the
weighted mean, σ x ¯ {\displaystyle \sigma _{\bar {x}}} , can be
shown via uncertainty...