| Issue |
EPJ Web Conf.
Volume 226, 2020
Mathematical Modeling and Computational Physics 2019 (MMCP 2019)
|
|
|---|---|---|
| Article Number | 03016 | |
| Number of page(s) | 4 | |
| Section | Mathematical and Computational Support of the Experiments, Computing Tools, and Software Services | |
| DOI | https://doi.org/10.1051/epjconf/202022603016 | |
| Published online | 20 January 2020 | |
https://doi.org/10.1051/epjconf/202022603016
Nonparametric Tests for Purity of Low Statistics Data
Laboratory of Information Technologies, Joint Institute for Nuclear Research,
Joliot-Curie 6,
Dubna
141980,
Russia
★ e-mail: zlokazov@jinr.ru
Published online: 20 January 2020
The nonparametric methods are most suitable for tasks facing the uncertainty or complexity of models and the small statistics of the analyzed data. They are irreplaceable in those cases when high tempo of the analysis is required.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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