Central Moment
In probability theory and statistics, central moments form one set of values by which the properties of a probability distribution can be usefully characterised. Central moments are used in preference to ordinary moments because then the values' higher-order quantities relate only to the spread and shape of the distribution, rather than to its location.
Sets of central moments can be defined for both univariate and multivariate distributions.
Read more about Central Moment: Univariate Moments, Multivariate Moments
Famous quotes containing the words central and/or moment:
“But when the self speaks to the self, who is speaking?—the entombed soul, the spirit driven in, in, in to the central catacomb; the self that took the veil and left the world—a coward perhaps, yet somehow beautiful, as it flits with its lantern restlessly up and down the dark corridors.”
—Virginia Woolf (1882–1941)
“The instincts of the ant are very unimportant, considered as the ant’s; but the moment a ray of relation is seen to extend from it to man, and the little drudge is seen to be a monitor, a little body with a mighty heart, then all its habits, even that said to be recently observed, that it never sleeps, become sublime.”
—Ralph Waldo Emerson (1803–1882)