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 |
|