  Computable solutions for expectations of Continuous Ranked Probability Scores
are presented. After deriving a scale invariant version of these scores, a
closed form for the convolutions of scores is presented. This closed form
enables the testing experts' statistical accuracy. Results are compared with
tests using a familiar Chi-square goodness of fit test using a recent data set
of 6,761 expert probabilistic forecasts for which true values are known.
