Singular distribution
From Wikipedia, the free encyclopedia
In probability, a singular distribution is a probability distribution concentrated on a set of Lebesgue measure zero set where the probability of each point in that set is zero. Such distributions are not absolutely continuous with respect to Lebesgue measure.
A singular distribution is not a discrete probability distribution because each discrete point has a zero probability. On the other hand, neither does it have a probability density function, since the Lebesgue integral of any such function would be zero.
An example is the Cantor distribution.