Absolute moment

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of a random variable

The mathematical expectation of , . It is usually denoted by , so that

The number is called the order of the absolute moment. If is the distribution function of , then


and, for example, if the distribution of has density , one has


In relation to the equations (1) and (2) one also speaks, respectively, of the absolute moments of the distribution function and the density . The existence of implies the existence of the absolute moment and also of the moments (cf. Moment) of order , for . Absolute moments often appear in estimates of probability distributions and their characteristic functions (cf. Chebyshev inequality in probability theory; Lyapunov theorem). The function is a convex function of , and the function is a non-decreasing function of , .

How to Cite This Entry:
Absolute moment. Encyclopedia of Mathematics. URL:
This article was adapted from an original article by Yu.V. Prokhorov (originator), which appeared in Encyclopedia of Mathematics - ISBN 1402006098. See original article