Continuous Variable: can take on any value between two specified values. Obtained by measuring. Discrete Variable: not continuous variable (cannot take on any value between two specified values).

A continuous r. v. can only hypothetically assume any value on a continuum. When only an approximating discrete r. v. ("discretization") is observable, estimation procedures employing the hypothetical ...

Expert judgment elicitation is often required in probabilistic decision making and the evaluation of risk. One measure of the quality of probability distributions given by experts is calibration-the ...

Uniform distribution (continuous) In mathematics, the continuous uniform distributions are probability distributions such that all intervals of the same length are equally probable. When working with ...

Continuous Variable: can take on any value between two specified values. Obtained by measuring. Covariance: a measure of the direction of the linear relationship between two variables. Discrete ...

As is well known, the normal distribution is a key tool in probability and statistics. It can be described as a distribution that obeys a universal rule derived from one of the most important theorems ...