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@wikipedia


A set of statistical metrics, characterizing the average deviation of the numerical values in the given dataset

LaTeX Math Inline
body--uriencoded--x = \%7B x_1, \, x_2, \, x_3 , ... x_N \%7D
 from its Mean Value 
LaTeX Math Inline
body\mu(x)
 :

LaTeX Math Block
alignmentleft
\bar \mu_n = \frac{\mu_n}{\sigma^n}, \ \ n \geq 3

where 

LaTeX Math Inline
body\mu_n

n-order of central momentum

LaTeX Math Inline
body\sigma


The concept makes sense only for the central momentums of higher oder than 

LaTeX Math Inline
bodyn \geq 3
, since lower order central momentums  
LaTeX Math Inline
body\bar \mu_0 \equiv 1/\sigma
,
LaTeX Math Inline
body\bar \mu_1 \equiv 0
,
LaTeX Math Inline
body\bar \mu_2 \equiv 1
 are trivial and do not carry additional information on dataset distribution.

The most popular application is the 3-rd order standardized central momentum

LaTeX Math Inline
body--uriencoded--\mu_3 = \bar \mu_3 \cdot \sigma%5e3
, which is called skewness and characterizes asymmetry of the dataset distribution.


See also


Formal science / Mathematics / Statistics / Statistical Metric / Central momentum