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 ...

Bayesian analysis combines previous information (represented by a mathematical probability distribution, the prior) with information from the study (the likelihood function) to generate an updated ...

ConventionaL load forecasting involves the prediction of the mean value of the demand of an electric power system. The mean value of a quantity which is subject to uncertainty does not fully ...

A probability density function, also known as a bell curve, is a fundamental statistics concept, that describes the likelihood of a continuous random variable taking on a specific value.

A probability distribution is a collection of all the possible outcomes of a random variable and the probability values that correspond to them. Each random variable or process result is linked to its ...

Here we introduce another probability distribution function that provides a good representation of the heavy-tailed axon diameter distribution, the generalized extreme value distribution.