In probability, and statistics, a multivariate random variable or random vector is a list or vector of mathematical variables each of whose value is unknown. |
The covariance matrix is the generalization of the variance to random vectors. It is an important matrix and is used extensively. |
| Многомерная случайная величина |  |
Многомерная случайная величина или случайный вектор - это список математических переменных, значение каждой из которых неизвестно, либо потому что значение еще не произошло, или из-за несовершенного знания о её значении. Википедия
Let (X,Y) be a random vector. If the marginal distribution of X (or Y) is continuous, its density is called the marginal density of X (or Y). |
A vector random variable X = (X1,X2,...,Xn) is a collection of random numbers with probabilities assigned to outcomes. • X can also be called a multivariate ... |
A random vector is just a collection of random variables generated by the same measurable space (Ω,A) ( Ω , A ) associated to an experiment ξ. |
A two-dimensional random vector x = (X1,X2) is said to follow a bivariate normal distribution if, given some parameters: µ1 ∈ R, µ2 ∈ R, σ1 ∈ R++, σ2 ∈ R++, ρ ∈ ... |
3 апр. 2019 г. · In this lesson, we'll introduce the concept of a random vector and we'll overview the important ideas of its first and second moments. |
How to find the distribution of a function of a random vector with known distribution. Absolutely continuous random vectors. |
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