dc.contributor.author | Şişman, Eyüp | |
dc.contributor.author | Güçlü, Yavuz Selim | |
dc.contributor.author | Dabanlı, İsmail | |
dc.date.accessioned | 2020-04-28T05:47:00Z | |
dc.date.available | 2020-04-28T05:47:00Z | |
dc.date.issued | 2020 | en_US |
dc.identifier.citation | Şişman, E., Güçlü, Y. S. ve Dabanlı, İ. (2020). Discussion of "Critical Values for Sen's Trend Analysis" by Richard H. McCuen. Journal of Hydrologic Engineering, 25(1). https://dx.doi.org/10.1061/(ASCE)HE.1943-5584.0001708 | en_US |
dc.identifier.issn | 1084-0699 | |
dc.identifier.issn | 1943-5584 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12511/5207 | |
dc.identifier.uri | https://dx.doi.org/10.1061/(ASCE)HE.1943-5584.0001708 | |
dc.description.abstract | It is well appreciated that the author of the original paper tried toavoid the qualitative subjectivity and proposed a quantitative approach for trend identification in a given hydrometeorology timeseries. He considered that there are not quantitative publicationson S¸ en’s innovative trend analysis (ITA) in the literature, whichis not correct, because there are a few papers published on the quantitative ITA trend estimation methodology. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | American Society of Civil Engineers (ASCE) | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Critical Values | en_US |
dc.subject | Trend Analysis | en_US |
dc.subject | Richard H. McCuen | en_US |
dc.title | Discussion of "Critical Values for Sen's trend analysis" by Richard H. McCuen | en_US |
dc.type | editorial | en_US |
dc.relation.ispartof | Journal of Hydrologic Engineering | en_US |
dc.department | İstanbul Medipol Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, İnşaat Mühendisliği Bölümü | en_US |
dc.authorid | 0000-0003-3696-9967 | en_US |
dc.authorid | 0000-0003-3108-8167 | en_US |
dc.identifier.volume | 25 | en_US |
dc.identifier.issue | 1 | en_US |
dc.relation.publicationcategory | Diğer | en_US |
dc.identifier.doi | 10.1061/(ASCE)HE.1943-5584.0001708 | en_US |
dc.identifier.wosquality | Q3 | en_US |
dc.identifier.scopusquality | Q2 | en_US |