Özet
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.
Orijinal dil | İngilizce |
---|---|
Sayfa (başlangıç-bitiş) | 19-37 |
Sayfa sayısı | 19 |
Dergi | International Journal of Global Warming |
Hacim | 15 |
Basın numarası | 1 |
DOI'lar | |
Yayın durumu | Yayınlandı - 2018 |
Harici olarak yayınlandı | Evet |
Bibliyografik not
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