# Mathematics | Reimann Zeta Distribution Model

• Last Updated : 19 Feb, 2021

Introduction :

Suppose an event can occur several times within a given unit of time. When the total number of occurrences of the event is unknown, we can think of it as a random variable. When a random variable X takes on values on discrete time interval from 1 to infinity, one choice of a probability density is the Reimann Zeta distribution whose probability density function is given by as follows. Above expression will be applicable only when given below condition will follow.

 x = 1,2,3,.... .
f(x) = 0, Otherwise

Where, is the parameter and is the value of the zeta function, defined by as follows. The random variable X following Reimann Zeta Distribution is represented as follows.

X ~ RIE( )

Expected Value :

The Expected Value of the Reimann Zeta distribution can be found by summing up products of Values with their respective probabilities as follows.   Using the property , we get the following expression as follows. Variance and Standard Deviation :

The Variance of the Riemann Zeta distribution can be found using the Variance Formula as follows.    Using the property , we get the following expression as follows.    Standard Deviation is given by as follows. My Personal Notes arrow_drop_up