A continuous random variable is a type of variable that can take on any value within a given range. Unlike discrete random variables, which have a countable number of outcomes, continuous random ...

W. Kenneth Poole, Estimation of the Distribution Function of a Continuous Type Random Variable Through Randomized Response, Journal of the American Statistical Association, Vol. 69, No. 348 (Dec., ...

A discrete distribution is a statistical probability distribution that represents the possible discrete values a variable can take.

A probability density function (PDF) describes the likelihood of different outcomes for a continuous random variable.

In a number of situations we are faced with the problem of determining efficient estimates of the mean and variance of a distribution specified by (i) a non-zero probability that the variable assumes ...

Probability density function is a statistical expression defining the likelihood of a series of outcomes for a continuous variable, such as a stock or ETF return.

A family of distributions is a collection of probability mass or probability density functions that differ only with respect to one or more parameters, or numeric quantities that describe the ...