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On Some Goodness of Fit Tests for Normality Based on the Optimal Transport Distance

Publication date: 2018

Schedae Informaticae, 2018, Volume 27, pp. 59 - 68

https://doi.org/10.4467/20838476SI.18.005.10410

Authors

,
Marcin Mazur
Faculty of Mathematics and Computer Science, Jagiellonian University, Krakow, Poland
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Piotr Kościelniak
Faculty of Mathematics and Computer Science, Jagiellonian University, Krakow, Poland
All publications →

Titles

On Some Goodness of Fit Tests for Normality Based on the Optimal Transport Distance

Abstract

We apply the optimal transport distance to construct two goodness of fit tests for (univariate) normality. The derived statistics are then compared with those used by the Shapiro-Wilk, the Anderson-Darling and the Cramer-von Mises tests. In particular, we preform Monte Carlo experiments, involving computations of the test power against some selected alternatives and wide range of sample sizes, which show efficiency of the obtained test procedures.

References

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Information

Information: Schedae Informaticae, 2018, Volume 27, pp. 59 - 68

Article type: Original article

Titles:

Polish:

On Some Goodness of Fit Tests for Normality Based on the Optimal Transport Distance

English:

On Some Goodness of Fit Tests for Normality Based on the Optimal Transport Distance

Authors

Faculty of Mathematics and Computer Science, Jagiellonian University, Krakow, Poland

Faculty of Mathematics and Computer Science, Jagiellonian University, Krakow, Poland

Published at: 2018

Article status: Open

Licence: CC BY-NC-ND  licence icon

Percentage share of authors:

Marcin Mazur (Author) - 50%
Piotr Kościelniak (Author) - 50%

Article corrections:

-

Publication languages:

English