Sep-18-2017, 03:21 PM

Hi Everyone,

I'm looking for a Beta Inverse Function in Python.

Below is the explanation for the same:

Returns the inverse of the beta cumulative probability density function (BETA.DIST).

If probability = BETA.DIST(x,...TRUE), then BETA.INV(probability,...) = x. The beta distribution can be used in project planning to model probable completion times given an expected completion time and variability.

Below is the Excel version of this solution:

BETA.INV(probability,alpha,beta,[A],[B])

The BETA.INV function syntax has the following arguments:

Probability Required. A probability associated with the beta distribution.

Alpha Required. A parameter of the distribution.

Beta Required. A parameter the distribution.

A Optional. A lower bound to the interval of x.

B Optional. An upper bound to the interval of x.

Could you please navigate me for the correct solution in Python.

Many thanks in advance.

Regards,

Ankur K

I'm looking for a Beta Inverse Function in Python.

Below is the explanation for the same:

Returns the inverse of the beta cumulative probability density function (BETA.DIST).

If probability = BETA.DIST(x,...TRUE), then BETA.INV(probability,...) = x. The beta distribution can be used in project planning to model probable completion times given an expected completion time and variability.

Below is the Excel version of this solution:

BETA.INV(probability,alpha,beta,[A],[B])

The BETA.INV function syntax has the following arguments:

Probability Required. A probability associated with the beta distribution.

Alpha Required. A parameter of the distribution.

Beta Required. A parameter the distribution.

A Optional. A lower bound to the interval of x.

B Optional. An upper bound to the interval of x.

Could you please navigate me for the correct solution in Python.

Many thanks in advance.

Regards,

Ankur K