Explore: Distribution (function)

statistics, the cumulative distribution function (CDF) of a real-valued random variable X {\displaystyle X} , or just distribution function of X {\displaystyle

quantile function of a distribution is the inverse of the cumulative distribution function. The quantile function of the standard normal distribution is called

Lorentz distribution (after Hendrik Lorentz), Cauchy–Lorentz distribution, Lorentz(ian) function, or Breit–Wigner distribution. The Cauchy distribution f (

expressed in terms of a joint cumulative distribution function and either in terms of a joint probability density function (in the case of continuous variables)

Distribution function may refer to Cumulative distribution function, a basic concept of probability theory Distribution function (physics), a function

In probability theory and statistics, a probability distribution is a function that gives the probabilities of occurrence of possible events for an experiment

mathematical analysis, the Dirac delta function (or δ distribution), also known as the unit impulse, is a generalized function on the real numbers, whose value

hypergeometric function. For information on its inverse cumulative distribution function, see quantile function § Student's t-distribution. Certain values

statistics, an empirical distribution function (a.k.a. an empirical cumulative distribution function, eCDF) is the distribution function associated with the

that it is contained in the distribution's support. The probability density function of the continuous uniform distribution is f ( x ) = { 1 b − a for