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pro vyhledávání: '"Tereza Smajdorová"'
Autor:
Tereza Smajdorová, Darja Noskievičová
Publikováno v:
Emerging Science Journal, Vol 4, Iss 4, Pp 272-282 (2020)
Classical parametric statistical methods are based on several basic assumptions about data (normality, independence, constant mean and variance). Unfortunately, these assumptions are not always fulfilled in practice, whether due to problems arising d
Externí odkaz:
https://doaj.org/article/d99a724707064508a41695cb02946a23
Autor:
Tereza Smajdorová, Darja Noskievičová
Publikováno v:
Applied Sciences, Vol 12, Iss 11, p 5410 (2022)
Nonparametric control charts (NPCC) have shown great potential for monitoring processes in conditions of smart manufacturing with complex structures, various monitored characteristics and the need to process big data. Practical applications of NPCCs
Externí odkaz:
https://doaj.org/article/0df068ac3821424b8362f4b3d0e49863
Autor:
Noskievičová, Tereza Smajdorová, Darja
Publikováno v:
Applied Sciences; Volume 12; Issue 11; Pages: 5410
Nonparametric control charts (NPCC) have shown great potential for monitoring processes in conditions of smart manufacturing with complex structures, various monitored characteristics and the need to process big data. Practical applications of NPCCs
Autor:
Tereza Smajdorová, Noskievicova, Daria
Publikováno v:
Scopus-Elsevier
Publons
Publons
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::6e96f65f19e386605e0bf06b5e6d0ee9
http://www.scopus.com/inward/record.url?eid=2-s2.0-85010748101&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-85010748101&partnerID=MN8TOARS
Autor:
Tereza Smajdorová, Noskievičová, D.
Publikováno v:
Publons
Scopus-Elsevier
Scopus-Elsevier
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::18faec0d1cf71e20f262107e8b59e7e4
https://publons.com/publon/35850884/
https://publons.com/publon/35850884/