Sentence examples for between the random variables from inspiring English sources

irrespectively of the dependence structure between the random variables and.

Furthermore, covariance between the random variables a kj and a kl is zero.

The coefficients of the linear approximation between the random variables and the output were used as the sensitivity values.

Open image in new window Fig. 7 Analysis of the dependence structure between the random variables using the scatter plot.

In another word, we are assessing the variation between the random variables and variance of a variable.

which is the integrand on the right-hand side of (2.11), governs the dependence structure between the random variables and.

Firstly, the relationship between the random variable M t) and the random variable D n (t),∀n ∈ {1,2,…,N} will be discussed.

The following lemma shows the relationship between the random variable X that follows the T-R{GL} distributions and the random variable T. Lemma 1 (Transformation): Let T be any random variable with PDF f T (x).

The relationship between the random variable X g with PDF in (2.4) and T is given by T = Q Y (F(X g )) and hence, X g  = F - 1(P(T)) when F - 1 exists, where P is the CDF of Y with the corresponding quantile function Q Y. Using this relation, one can generate the random variable X g by generating the random variable T and then computing X g  = F - 1(P(T)).

According to the approximated linear relationships between the response and the random variables, the change-of-variable technique is introduced to calculate the response probability density function.

The following theorem gives the relation between the moments of the random variables defined in (2.4) and (4.2) when the PDF f is symmetric.