The multivariate normal distribution is often used to describe, at least approximately, any set of (possibly) correlated real-valued random variables. Centered normal random vector · Normal random vector |
| Многомерное нормальное распределение |  |
Многоме́рное норма́льное распределе́ние в теории вероятностей — это обобщение одномерного нормального распределения. Случайный вектор, имеющий многомерное нормальное распределение, называется гауссовским вектором. Википедия
The multivariate normal (MV-N) distribution is a multivariate continuous distribution that generalizes the one-dimensional normal distribution. |
The multivariate normal distribution is the generalization of the bivariate normal distribution and can be defined in a number of ways; we choose the one ... |
▷ All sub-sets of the components of X are (multivariate) normal. ▷ Zero covariance implies that the corresponding components of X are statistical independent. ▷ ... |
Videolar All subsets of the components of X have a (multivariate) normal distribution. 3. Zero covariance implies that the corresponding components are independently. |
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