random variable

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Related to random variable: Continuous Random Variable, Discrete Random Variable

random variable

A variable whose values are random but whose statistical distribution is known.

American Heritage® Dictionary of the English Language, Fifth Edition. Copyright © 2016 by Houghton Mifflin Harcourt Publishing Company. Published by Houghton Mifflin Harcourt Publishing Company. All rights reserved.

random variable

(Statistics) statistics a quantity that may take any of a range of values, either continuous or discrete, which cannot be predicted with certainty but only described probabilistically. Abbreviation: rv

Collins English Dictionary – Complete and Unabridged, 12th Edition 2014 © HarperCollins Publishers 1991, 1994, 1998, 2000, 2003, 2006, 2007, 2009, 2011, 2014

ran′dom var′iable

a statistical quantity that can take any of the values of a specified set in accordance with an associated probability distribution.

Also called variate.

[1935–40]

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Noun

random variable - a variable quantity that is random

chance variable, stochastic variable, variate, variant

variable quantity, variable - a quantity that can assume any of a set of values

References in periodicals archive ?

This technique represents the random response of a model in terms of a linear combination of orthonormal polynomial basis involving the input random variables. Intrusive [3-5] or non-intrusive [2, 6, 7] approaches exist for the computation of the basis coefficients, thus reproducing an analytic representation called metamodel (or surrogate model) of the system response.

Identification of Main Factors of Uncertainty in a Microstrip Line Network

The vth moment of a random variable X, whose PDF f (X) is given, can be defined as

An Analytic Approach to Probabilistic Load Flow Incorporating Correlation Between Non-Gaussian Random Variables

(3) The r-th moment of the random variable X is given by

A New Class of Distributions Generated by the Extended Bimodal-Normal Distribution

Let [l.sub.i] and [[mu].sub.i] be the essential infimum and essential supremum of a random variable [X.sub.i], X = ([X.sub.1],..., [X.sub.n]) is a fixed random vector in [mathematical expression not reproducible], then X is mutually exclusive.

Two Sufficient Conditions for Convex Ordering on Risk Aggregation

For h [member of] N and i between 0 and n, the moment [m.sub.ih] of order h of the random variable [[xi].sub.i] is defined by

Numerical Procedures for Random Differential Equations

Let X : [OMEGA] [right arrow] R be a random variable with finite expected value and let H [subset or equal to] S be a [sigma]-algebra.

Lineability within Peano Curves, Martingales, and Integral Theory

If X(S) [??] R is at most countable in R, then X is a discrete random variable, otherwise, it is a continuous random variable.

APPLICATIONS AND COMPUTER SIMULATIONS OF MARKOV CHAINS

Damage is a random variable because it is different for each trajectory.

A Methodology for Fatigue Life Estimation of Linear Vibratory Systems under Non-Gaussian Loads

There is no agreed-upon measure of the size of a random variable, nor is there an agreed-upon measure of the magnitude of risk.

THE INCREASING CONVEX ORDER AND THE TRADE-OFF OF SIZE FOR RISK

However, this definition has never been used as the criterion for the assumption of a random variable in a macroeconometric model.

MACROECONOMETRICS: STATISTICAL ALCHEMY AT THE FINAL STAGE

And G (u, [delta]) can be transformed to G(v) = 1 - [square root of ((2/(n + m)))] [v.sub.1][v.sub.2] in polar space, where the PDF of the random variable [v.sub.1] is (18), and the PDF of [v.sub.2] is (20).

Hybrid Reliability Analysis for Spacecraft Docking Lock with Random and Interval Uncertainty

The present goal is to derive the CDF and the PDF of the sum T = [[summation].sup.n.sub.i=1] [X.sub.i], where [X.sub.i] are independent identically distributed Uniform (0, 1) random variables for i = 1, 2, ..., n.