In this contribution, we employ the Mellin transform to derive the expressions for probability density function (PDF) of the product of Nakagami-m and Gamma distributed random variables. As the ...

Probability Density Function Calculating probabilities for continuous random variables requires a different approach from the methods used with discrete variables. If all the outcomes of a continuous ...

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, ...

A random variable is one whose value is unknown or a function that assigns values to each of an experiment’s outcomes. A random variable can be discrete or continuous.

Article citations More>> Song, I., Ryoung-Park, S., & Yoon, S. (2022). Probability and Random Variables: Theory and Applications. Springer International Publishing. has been cited by the following ...

The FactorGraph package provides the set of different functions to perform inference over the factor graph with continuous or discrete random variables using the belief propagation algorithm. A ...

Discrete and continuous probability distributions are two fundamental types of probability distributions, each describing different kinds of random variables.

Researchers found that people who perform a random act of kindness tend to underestimate how much the recipient will appreciate it. And they believe that miscalculation could hold many of us back ...