
In this paper, we describe a theory of a cumulative distribution function on a space with an order from a probability measure defined in this space. This distribution function plays a similar role to that played in the classical case. Moreover, we define its pseudo-inverse and study its properties. Those properties will allow us to generate samples of a distribution and give us the chance to calculate integrals with respect to the related probability measure.
probability, 60E05, 60B11, linearly ordered topological space, Probability (math.PR), General Topology (math.GN), Borel σ-algebra, measure, σ-algebra, sample, QA1-939, FOS: Mathematics, distribution function, cumulative distribution function, Mathematics, Mathematics - Probability, Mathematics - General Topology
probability, 60E05, 60B11, linearly ordered topological space, Probability (math.PR), General Topology (math.GN), Borel σ-algebra, measure, σ-algebra, sample, QA1-939, FOS: Mathematics, distribution function, cumulative distribution function, Mathematics, Mathematics - Probability, Mathematics - General Topology
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