Hermite interpolation polynomials and distributions of ordered data

It is shown that density functions of generalized order statistics can be interpreted as divided differences. Moreover, it turns out that the cumulative distribution functions can be understood as a certain Hermite interpolation polynomial evaluated at the origin. The particular cases of order statistics and record values lead to a Lagrange interpolation polynomial and a Taylor polynomial, respectively.