#seven_states_of_randomness
Seven states of randomness
Extensions of the concept of randomness
The seven states of randomness in probability theory, fractals and risk analysis are extensions of the concept of randomness as modeled by the normal distribution. These seven states were first introduced by Benoît Mandelbrot in his 1997 book Fractals and Scaling in Finance, which applied fractal analysis to the study of risk and randomness. This classification builds upon the three main states of randomness: mild, slow, and wild.
Sun 14th
Provided by Wikipedia
This keyword could refer to multiple things. Here are some suggestions:
0 searches
This keyword has never been searched before
This keyword has never been searched for with any other keyword.