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).

Integration techniques can be used to determine probabilities for any probability that is continuous. The function that models this probability is called a probability density function. A probability ...

The binomial distribution models the number of successes in a fixed number of independent Bernoulli trials, each with the same probability of success. The chi-square distribution is often used in ...

School of Mathematical Sciences, Rochester Institute of Technology, Rochester, New York, USA. There are commonly used, continuous probability distributions of one variable, such as the normal ...

Abstract: Evidential reasoning (ER) rule has been widely used in dealing with uncertainty. As an important parameter to measure the inherent property of evidence, the evidence reliability makes the ER ...

Course Description: Discrete and continuous probability distributions, including multivariate and joint distributions. Random variables, cumulative distribution functions, density functions, ...