For any valid x and y, ibeta(1, x, y) = 1, that is, the function becomes complete at a = 1. The definition of ibeta is related to the Gamma function.

The incomplete beta function arises often in probabilistic applications. For example, the cumulative probability density for the Student's t Distribution and binomial distributions can be computed in terms of ibeta.