We propose a method to test a prediction of the distribution of a stochastic process. In a non-Bayesian non-parametric setting, a predicted distribution is tested using a realization of the stochastic process. A test associates a set of realizations for each predicted distribution, on which the...

We propose a method to test a prediction of the distribution of a stochastic process. In a non-Bayesian non-parametric setting, a predicted distribution is tested using a realization of the stochastic process. A test associates a set of realizations for each predicted distribution, on which the...

The sequence ≥nd of nth degree stochastic dominances for d-dimensional distribution functions is defined. It is shown that, under some regularity conditions, ≥nd implies ≥nd−1 for the (d−1) - dimensional marginals. Also some necessary conditions for ≥nd are established. These...

This book contains full bibliographic information (inclusive keywords) aboutthe literature on Stochastic Orderings and their Applications in the following fields: Choice under Risk, Finance, Inequality, Measurement, Economic Theory, Special Economic Applications, Decision Methodology, Queueing,...