Cramer-von Mises goodness-of-fit test for simple Null Hypothesis

Estimates p-value of acceptance of a simple H0: "CDF with parameters estimated of given sample"

"CramervonMisesPVal_SimpleH0" function estimates p-value of acceptance of a simple Null Hypothesis: "CDF with specific parameters estimated on a sample", via the Monte-Carlo simulations. "CramervonMisesPVal_SimpleH0" function is based on a Cramer-von Mises g.o.f. test that is a good alternative to the ChiSquare g.o.f. test when a sample has a length too short for Chi2gof (say < 50). Cramer-von Mises test puts the same weight on an entire range of X (unlike the Anderson-Darling test putting more weight on tails of a distribution).