This paper is the second in a series of two on the problem of estimating a function of a probability distribution from a finite set of samples of that distribution. In the first paper, the Bayes ...

The function shape here is an example of a Normal Distribution, which you'll learn more about later. The probability density function (a probability distribution function) shows all possible values ...

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

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 ...

Placing a prefix for the distribution function changes it's behavior in the following ways: dxxx (x,) returns the density or the value on the y-axis of a probability distribution for a discrete value ...

Probability Distribution Functions package Probability Distribution Functions is a Python package to help in different kind of probability distributions for a Data Scientist. Probability distributions ...

Unlike for probability mass functions, the probability density function cannot be interpreted directly as a probability. Instead, if we visualize the graph of a pdf as a surface, then we can compute ...

Several probability distribution functions such as exponential distribution function have been used to represent the task arrival process and processing time of tasks for multimedia systems. These ...