Comparison of nonparametric testing criteria of hypothesis of distribution of random variables

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From a perspective of collective estimation principles, the authors worked out the technique of testing, for a hypothesis of identity of laws of distributions of random variables, based on nonparametric algorithms of pattern recognition. Results of its comparison with Smirnov and Pearson criterion are presented.

Nonparametric statistics, pattern recognition, statistical hypothesis testing, random variables distribution, pearson criterion, smirnov criterion

Короткий адрес: https://sciup.org/148176671

IDR: 148176671

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