In this paper we give some conditions such that there is an equivalence between probability measures and distribution functions defined on a separable linearly ordered topological space like it happens in the classical case. What is more, we prove that there is a one-to-one relationship between a probability measure and the pseudo-inverse of its cumulative distribution function