skew

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Related to skewness: standard deviation, kurtosis

skew

(skyū),
In statistics, departure from symmetry of a frequency distribution.

skew

[skyo̅o̅]
Etymology: ME, skewen, to escape
a deviation from a line or symmetric pattern, such as data in a research study that do not follow the expected statistical curve of distribution because of the unwitting introduction of another variable.

skew

(skū) [Middle English skewen, to slip away, escape]
To turn aside, make oblique.
In statistics, to show an asymmetry in a frequency distribution.
Turned aside, asymmetrical, oblique.
A slant or deviation from a straight line.
skewed (skūd), adjective
References in periodicals archive ?
For equal shape and slight and moderate departures from normality, the distributions had values of skewness ([[gamma].
The risks measures when contemplating higher moments of the probability distribution, like kurtosis and skewness, do not differ much to the previous strategies.
In figures 3 and 4, the plots of skewness show a distinct pattern, with high positive values close to 2.
D) The balance of risk is measured by the skewness.
Disasters are usually modeled as a shock that induces negative skewness in the distribution of output.
In this section, the skewness, kurtosis and curl of the received energy block values are presented.
The resultant table suffers from the skewness or probabilistic inference attack.
As shown by kurtoses and skewness, SPR values differ from the normal distribution; therefore, we applied the Kolmogorov-Smimov test to evaluate whether normality can be assumed for these values with a confidence of 95% (Corder and Foreman 2014).
The researchers found positive job growth skewness within some industries in the early years that they analyzed, particularly in the services and high-tech sectors of the 1980s and 1990s.
Let [kappa] and [tau] denote the "excess" kurtosis (kurtosis of the distribution minus 3; the Gaussian kurtosis) and skewness of [Y.
Dutta and Babbel [12] found that the skewness and leptokurtic behavior of LIBOR were modeled effectively using g-h distribution.