Examples of using Random variable in English and their translations into Greek
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Colloquial
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Official
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Medicine
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Ecclesiastic
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Financial
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Official/political
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Computer
For example, suppose the random variable X is symmetrically distributed about zero, and Y= X2.
The population variance for a non-negative random variable can be expressed in terms of the cumulative distribution function F using.
then"X" is called a continuous random variable.
By supplying a rule for constructing a new random variable from other random variables whose joint probability distribution is known.
A univariate distribution gives the probabilities of a single random variable taking on various alternative values;
then this sequence converges in distribution to a degenerate random variable X= 0.
feature vector is a random variable with some probability of belonging to a face or not.
A six-sided fair die can be modelled with a discrete random variable with outcomes 1 through 6, each with equal probability 1/6.
In probability theory and statistics, the moment-generating function of a random variable X is.
Thus, the distribution of a random variable X is discrete,
In probability and statistics, a random variable is a variable whose value is subject to variations due to chance.
error variable ε- an unobserved random variable that adds"noise" to the linear relationship between the dependent variable and regressors.
the information in a random variable, and mutual information,
a measure of information in a single random variable, and mutual information,
For example, the standard deviation of a random variable which follows a Cauchy distribution is undefined because its expected value is undefined.
A listing of all the possible outcomes of an experiment for a discrete random variable along with the relative frequency or probability.
Consider an additional random variable Y which may
A prediction interval for a random variable is defined similarly to a confidence interval for a statistical parameter.
For a random variable following this distribution,
error variable εi- an unobserved random variable that adds noise to the linear relationship between the dependent variable and regressors.