Mathematics
8 years ago

Revolutionizing Statistical Testing: New Non-Parametric Tests for Complete Data Samples

HAL (Le Centre pour la Communication Scientifique Directe)
Non-parametric Tests for Complete Data
Mikhaïl Nikulin, Vilijandas Bagdonavičius, Julius Kruopis

Paper Summary

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The article discusses non-parametric tests for complete data samples. It explains various tests like goodness-of-fit, homogeneity, randomness, and independence using examples. The tests include chi-squared, modified chi-squared, rank, and homogeneity tests. The article proves most test results and highlights common mistakes in using these tests with statistical software.