Environmental Science
8 years ago

New distribution models revolutionize nonparametric tests for complicated hypotheses!

DISTRIBUTION MODELS FOR NONPARAMETRIC TESTS FOR FIT IN VERIFYING COMPLICATED HYPOTHESES AND MAXIMUM-LIKELIHOOD ESTIMATORS. PART 1 GENERAL PROBLEMS OF METROLOGY AND MEASUREMENT TECHNIQUE
S. B. Lemeshko

Paper Summary

Complicated-hypothesis testing was done to check if certain probability distributions fit a sample well. The study focused on nonparametric tests like Kolmogorov and Anderson-Darling. New results and models were created to help with this type of testing.

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