dc.contributor.author | Tošenovský, Josef | |
dc.contributor.author | Tošenovský, Filip | |
dc.date.accessioned | 2021-09-14T10:02:46Z | |
dc.date.available | 2021-09-14T10:02:46Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | Chemické listy. 2021, vol. 115, issue 6, p. 300-304. | cs |
dc.identifier.issn | 0009-2770 | |
dc.identifier.issn | 1213-7103 | |
dc.identifier.uri | http://hdl.handle.net/10084/145189 | |
dc.language.iso | cs | cs |
dc.publisher | Česká společnost chemická | cs |
dc.relation.ispartofseries | Chemické listy | cs |
dc.relation.uri | http://www.chemicke-listy.cz/ojs3/index.php/chemicke-listy/article/view/3858/3774 | cs |
dc.subject | odlehlé hodnoty | cs |
dc.subject | kladná a záporná šikmost | cs |
dc.subject | kvartily | cs |
dc.subject | krabicový graf | cs |
dc.title | Identifikace odlehlých hodnot v chemických měřeních s uvážením nesymetrie jejich rozdělení pravděpodobnosti | cs |
dc.title.alternative | Identification of outliers in chemical measurements allowing for asymmetry in their probability distribution | cs |
dc.type | article | cs |
dc.description.abstract-en | The aim of the paper is to acquaint the reader with new box plots, clarify the principles they are based on, try out their functionality and show their application in detecting outliers in data samples with positive or negative skewness. | cs |
dc.type.status | Peer-reviewed | cs |
dc.description.source | Web of Science | cs |
dc.description.volume | 115 | cs |
dc.description.issue | 6 | cs |
dc.description.lastpage | 304 | cs |
dc.description.firstpage | 300 | cs |
dc.identifier.wos | 000661745400004 | |