# random variable

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## random variable

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

## random variable

n
(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

## ran′dom var′iable

n.
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]
ThesaurusAntonymsRelated WordsSynonymsLegend:
 Noun 1 random variable - a variable quantity that is random  variable quantity, variable - a quantity that can assume any of a set of values
References in periodicals archive ?
R is at most countable in R, then X is a discrete random variable, otherwise, it is a continuous random variable.
However, the model input variables follow uniform distribution in the actual problem, which are assumed to random variables following normal distribution in most situations.
In its essence, financial economics is a science of random elements--daily returns of stock prices are modeled as random variables, the price evolution of an exchange rate is modeled as a stochastic process, and the daily movement of the shape of a yield curve is modeled as a more complex random object.
When these transformations are applied to a continuous random variable U with mean 0 and variance 1 such that its pdf [f.
k] can be considered as Gaussian random variable, whose mean is
Then, the RW2 model derives directly from the RW1 model, but the single difference resides in ignoring the hypothesis of the same distribution function of the random variable [[epsilon].
For a non-negative random variable X, in general there is no connection between the geometric mean [GM.
There exist several versions available in the literature for independent sequences of random variables with assumptions of uniform bound or some, quite relaxed, control on their (centered or non-centered) moments.
0]) is a new conditional random variable, and the distribution still belongs to the intersection S([gamma]) [intersection] [R.
The distribution density function (PDF) of random variable w will be designated by [f.
On the whole, a macroscopic random variable is characterized by a continuous spectra of values associated with an intrinsic probability density.

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