Nonparametric Tests for Purity of Low Statistics Data

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.

Bibliographic Details
Main Author: Zlokazov Victor B.
Format: Article
Language:English
Published: EDP Sciences 2020-01-01
Series:EPJ Web of Conferences
Online Access:https://www.epj-conferences.org/articles/epjconf/pdf/2020/02/epjconf_mmcp2019_03016.pdf
Description
Summary: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.
ISSN:2100-014X