Sentence examples for multivariate distribution functions from inspiring English sources

The forecast model applies a family of multivariate distribution functions to forecast future drought conditions given the drought status in the past.

Tail dependence is an important feature in modeling accuracy and conventional wind speed scenario generation methods such as autoregressive integrated moving average (ARIMA) and multivariate distribution functions are not capable of modeling tail dependence.

Copulas are multivariate distribution functions with standard uniform univariate margins.

Copulas are functions that join multivariate distribution functions to their one-dimensional marginal distribution functions.

Copulas are functions that join or couple multivariate distribution functions to their one-dimensional marginal distribution functions.

The null and alternative hypothesis tested by the N-statistic can be formulated as: (39) H 0 : F C (x ) = F T (x ) (40) H 1 : F C (x ) ≠ F T (x ) whereas F C (x) and F T (x) are two multivariate distribution functions from the control and the treatment condition.

The results show that the scenarios made by the student-T copula function are more accurate than conventional methods such as ARIMA and the normal multivariate distribution function.

The approach is relevant to all cases when uncertainty can be described by any kind of joint correlated multivariate distribution function.

A two dimensional copula, C u 1,u 2), is a multivariate distribution function in the unit hypercube [0,1]2 with uniform U 0,1) marginal distributionsa.

The aim of this study was to create a method of CEA meta-analysis based on either individual or aggregate data through the generation of a multivariate distribution function which allows the dependence between costs and effects to be modelled.

We consider a multivariate distribution function with regard to gene expression level x i and the genotype a. Considering that multiple genes are involved, we assume that the genotype is represented by a scalar parameter a (e.g., by a Hamming distance from the fittest genetic sequence).