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