In order to verify the distribution's characteristics inside of the statistical processing of discrete random variables RV we have the following distribution: The variance and expected value are ...

A discrete random variable is a type of random variable that can take on a countable set of distinct values. Common examples include the number of children in a family, the outcome of rolling a die, ...

The expectation or the mean of a discrete random variable is a weighted average of all possible values of the random variable. The weights are the probabilities associated with the corresponding ...

The total area under the curve must equal 1, representing the fact that the probability of some outcome occurring within the entire range is certain. \[\int_{-\infty}^{\infty}f\left(x\right)dx=1\] ...

Abstract: The commonly used global sensitivity analysis (GSA) can quantify the influence of random input variables on the variance of target outputs. To avoid the extremely large computational burden ...