Sentence examples for marginal distributions is from inspiring English sources

The median for both marginal distributions is 10.

In the case of the MECC application, the impact of the marginal distributions is eliminated.

The inverse problem is to determine whether a set of fragmentary probabilities or marginal distributions is conformable in the sense that there exists a probability space or joint distribution that yields these fragmentary probabilities or marginal distributions.

Furthermore, maximum achievable kappa values (κ max) given the marginal distributions are reported, to determine how much of the marginally permitted agreement is present between raters [13].

The marginal distributions are therefore nuisance parameters.

Also, the marginal distributions are not informative.

The marginal distributions are described by Generalized Pareto laws.

However, in the normal copula, the marginal distributions are arbitrary.

The marginal distributions are X i ∼ B G ( a i, b ; F i ), i = 1,2,…,m.

For the systems considered excellent results over the main body and tails of the marginal distributions are obtained.

On the other hand, it is not easy to get the joint distribution when marginal distributions are known.