Modeling Statistic Distributions for Nonparametric Goodness-of-Fit Criteria for Testing Complex Hypotheses with Respect to the Inverse Gaussian Law

摘要

We give percentage point tables and statistic distribution models for non-parametric goodness-of-fit criteria for testing complex hypothesis with respect to the inverse Gaussian law in case of using maximal likelihood estimates.