Mathematics
8 years ago

New test outperforms old methods in assessing data accuracy.

Nonlinear Analysis Modelling and Control
Multivariate goodness-of-fit tests based on kernel density estimators
Aleksej Bakshaev, Римантас Рудзкис

Paper Summary

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The article explores new tests for checking if data fits a certain pattern. They use a method called kernel density estimators to compare the data to what is expected. The tests are shown to be strong when compared to traditional methods. They also figure out how the test results behave in the long run.