Noun
probability density function (plural probability density functions)
(probability theory) Any function whose integral over a set gives the probability that a random variable has a value in that set
Histograms give a rough sense of the density of the underlying distribution of the data, and often for density estimation : estimating the probability density function of the underlying variable. Source: Internet
Integration of the normal probability density function of the velocity, above, over the course (from 0 to ) and path angle (from 0 to ), with substitution of the speed for the sum of the squares of the vector components, yields the speed distribution. Source: Internet
In this case, the probability density function or probability mass function will be a special case of the more general form : where is the location parameter, θ represents additional parameters, and is a function parametrized on the additional parameters. Source: Internet
The graph of the exponential distribution, called the probability density function (PDF), shows the distribution of time (or distance) between events. Source: Internet
The probability density function describes the infinitesimal probability of any given value, and the probability that the outcome lies in a given interval can be computed by integrating the probability density function over that interval. Source: Internet
The probability density function is nonnegative everywhere, and its integral over the entire space is equal to one. Source: Internet