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

Average absolute deviation Mean signed deviation Mean squared error Squared deviations from the mean Errors and residuals Coefficient of variation Hyndman...

The average absolute deviation (AAD) of a data set is the average of the absolute deviations from a central point. It is a summary statistic of statistical...

population, variance is the average of the squared deviations from the mean.) A useful property of the standard deviation is that, unlike the variance, it is...

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

of the square of the function. In estimation theory, the root-mean-square deviation of an estimator measures how far the estimator strays from the data...

vary from the average. Positive deviations indicate values above the mean, while negative deviations indicate values below the mean. The sum of squared deviations...

the root mean square deviation of atomic positions, or simply root mean square deviation (RMSD), is the measure of the average distance between the atoms...

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

measure of statistical dispersion Mean squared deviation, another measure of statistical dispersion Mean Deviation (book), a 2010 non-fiction book by former...

For sums of squares relating to observations, see Total sum of squares For sums of squared deviations, see Squared deviations from the mean For modelling...

_{\nu }^{2}={\frac {\chi ^{2}}{\nu }},} where the chi-squared is a weighted sum of squared deviations: χ 2 = ∑ i ( O i − C i ) 2 σ i 2 {\displaystyle...

function Root mean square Squared deviations from the mean Charnes, A.; Frome, E. L.; Yu, P. L. (1976). "The Equivalence of Generalized Least Squares and Maximum...

It's defined as the average of the squared deviations from the mean. The Root Mean Square (RMS) fluctuation: This is the square root of the variance and...

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

{C_{N}}{\sum _{i=1}^{N}w_{i}}}} Kahan summation algorithm Squared deviations from the mean Yamartino method Einarsson, Bo (2005). Accuracy and Reliability...

to as the within-groups and between-groups SSP matrices. Squared deviations from the mean Sum of squares (statistics) Lack-of-fit sum of squares Expected...

is the 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...

the lowest SDCM is found. Finally the sum of squared deviations from the mean of the complete data set(SDAM), and the goodness of variance fit (GVF) may...

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

are the deviations of the observations from the population mean, while the residuals are the deviations of the observations from the sample mean. A statistical...

two standard deviations of the mean and 88.88% within three standard deviations for a broad range of different probability distributions. The term Chebyshev's...

Distribution Models, in ecology Squad designated marksman Squared deviations from the mean, in mathematics Standard days method, a calendar-based method...

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

from a sample when the population mean is unknown, the uncorrected sample variance is the mean of the squares of deviations of sample values from the...

signal processing, a minimum mean square error (MMSE) estimator is an estimation method which minimizes the mean square error (MSE), which is a common...

of the mode, Beta(α, β) distributions with α,β > 2, as it depends on the linear (absolute) deviations rather than the square deviations from the mean. Therefore...

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

Percentage error Mean absolute percentage error Mean squared error Mean squared prediction error Minimum mean-square error Squared deviations Peak signal-to-noise...

S} is the sum of squared deviations from the mean (either a vector, or a sum to conserve memory, depending on the application) The main difference here...