how to convert a beta distribution into a uniform one? -


I want to convert a shape parameter to a = b = 0.5 in a similar way. Is it possible and if it is, how can I do this?

First of all, let me check if I understand what you want to do I'm in: You have data (e.g., a random number generator) in which beta is distributed. You want to apply the function to each data point, so there is an equal distribution in the output data value. Is it true?

If so, the cumulative distribution function (integral to the probability density function) should actually be the mapping required by you.


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