Developing a Multiple Testing Procedure in the D-Posterior Approach using the R Software Environment

dc.contributor.author	Simushkin S.
dc.contributor.author	Fedotova E.
dc.date.accessioned	2021-02-25T06:54:57Z
dc.date.available	2021-02-25T06:54:57Z
dc.date.issued	2020
dc.identifier.uri	https://dspace.kpfu.ru/xmlui/handle/net/161494
dc.description.abstract	© 2020 IEEE. The article provides a method for developing a statistical criterion that satisfies given restrictions on the average proportion of wrong decisions, similar to the concept of pFDR in multiple testing. The statistical criterion uses programming capabilities in the R environment. The advantages of this method are shown in comparison with the Benjamini-Hochberg procedure.
dc.subject	d-posterior approach
dc.subject	multiple testing
dc.subject	R programming language
dc.subject	statistics
dc.title	Developing a Multiple Testing Procedure in the D-Posterior Approach using the R Software Environment
dc.type	Conference Paper
dc.collection	Публикации сотрудников КФУ
dc.source.id	SCOPUS-2020-SID85096425707

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Публикации сотрудников КФУ Scopus [24551]
Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.