Examples of using Random variables in English and their translations into Greek
{-}
-
Colloquial
-
Official
-
Medicine
-
Ecclesiastic
-
Financial
-
Official/political
-
Computer
Random variables, continuous and discrete random variables.
Now let's define two random variables.
Discrete random variables.
Continuous random variables.
F are the cumulative distribution functions of random variables Xn and X correspondingly.
Topic 2: Scalar random variables.
F are the cumulative distribution functions of random variables Xn and X, respectively.
The regressors xi may be viewed either as random variables, which we simply observe,
can be treated as fixed values, rather than random variables.
All the above results are proved for the case of two-dimensionally indexed random variables.
Correlation and dependence- In statistics, dependence is any statistical relationship between two random variables or two sets of data.
In statistics, dependence refers to any statistical relationship between two random variables or two sets of data.
Convergence in probability defines a topology on the space of random variables over a fixed probability space.
The concept of almost sure convergence does not come from a topology on the space of random variables.
The information given by a correlation coefficient is not enough to define the dependence structure between random variables.
is a computationally efficient, copula-based measure of dependence between multivariate random variables.
In statistics, dependence is any statistical relationship between two random variables or two sets of data.
focused on Noise Theory and Random Variables.
Conversely, if a continuous function satisfies for all random variables X, then it is necessarily of the form, where a> 0.
Since independent random variables are always uncorrelated, the equation above holds in particular when the random variables X 1,….