multivariate normal distribution meaning in Hindi

Examples

1. The multivariate normal distribution is a commonly encountered multivariate distribution.
2. Hence the multivariate normal distribution is an example of the class of elliptical distributions.
3. This distribution arises in multivariate statistics as a derivative of the multivariate normal distribution.
4. Then, the multivariate normal distribution can be equivalently represented as a moment matrix:
5. Gaussian processes can be seen as an infinite-dimensional generalization of multivariate normal distributions.
6. These semantics render the partial sweeping operation a useful method for manipulating multivariate normal distributions.
7. The multivariate stable distribution can also be thought as an extension of the multivariate normal distribution.
8. A random vector is said to have the multivariate normal distribution if it satisfies the following equivalent conditions.
9. The Fisher information matrix for estimating the parameters of a multivariate normal distribution has a closed form expression.
10. For large sample sizes, the central limit theorem says this distribution tends toward a certain multivariate normal distribution.