dc.contributor.author | Dabanlı, İsmail | |
dc.contributor.author | Şen, Zekai | |
dc.date.accessioned | 10.07.201910:49:13 | |
dc.date.accessioned | 2019-07-10T19:36:40Z | |
dc.date.available | 10.07.201910:49:14 | |
dc.date.available | 2019-07-10T19:36:40Z | |
dc.date.issued | 2018 | en_US |
dc.identifier.citation | Dabanlı, İ. ve Şen, Z. (2018). Classical and innovative-Şen trend assessment under climate change perspective. International Journal of Global Warming, 15(1), 19-37. https://dx.doi.org/10.1504/IJGW.2018.091951 | en_US |
dc.identifier.issn | 1758-2083 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12511/1226 | |
dc.identifier.uri | https://dx.doi.org/10.1504/IJGW.2018.091951 | |
dc.description.abstract | The main purpose of this paper is to provide a comparison between the innovative-Şen and classical trend methods. Additionally, significance levels at ±5% and ±10% levels are suggested for the first time on the innovative-Şen trend template, which works with the categorisation of given data into a set of classes such as 'low', 'medium' and 'high' values. However, the classical approaches consider holistic monotonic trend identification without categorisation. Classical trend analyses methods, Mann-Kendall trend test coupled with, Şen's slope and the classical regression line, are based on a set of restrictive assumptions, but the innovative-Şen approach does not have assumptions. Application of classical methods do not present significant trend component, however, the innovative-Şen trend method provides possible trend components in each cluster within the significance limits. Although the classical approaches do not indicate a significant trend, but innovative-Şen approach provides some categorically significant trends in detail and quantitative information. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Inderscience Publishers | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Akarcay | en_US |
dc.subject | Category | en_US |
dc.subject | Climate Change | en_US |
dc.subject | Innovative-Şen | en_US |
dc.subject | Significance | en_US |
dc.subject | Trend | en_US |
dc.title | Classical and innovative-Şen trend assessment under climate change perspective | en_US |
dc.type | article | en_US |
dc.relation.ispartof | International Journal of Global Warming | en_US |
dc.department | İstanbul Medipol Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, İnşaat Mühendisliği Bölümü | en_US |
dc.authorid | 0000-0003-3108-8167 | en_US |
dc.authorid | 0000-0003-2754-5492 | en_US |
dc.identifier.volume | 15 | en_US |
dc.identifier.issue | 1 | en_US |
dc.identifier.startpage | 19 | en_US |
dc.identifier.endpage | 37 | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.identifier.doi | 10.1504/IJGW.2018.091951 | en_US |
dc.identifier.wosquality | Q4 | en_US |
dc.identifier.scopusquality | Q3 | en_US |