A comparison of the rank-based and slope-based nonparametric tests for trend detection in climate time series
Trend detection in climate time series data is crucial for understanding climate change, predicting future climate patterns, assessing impacts, managing resources, and formulating policies. Several trend detection methods have been introduced in the literature, including parametric and non-parametri...
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| Format: | Article |
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Universiti Malaysia Perlis
2024
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| Online Access: | http://psasir.upm.edu.my/id/eprint/106398/ https://ejournal.unimap.edu.my/index.php/amci/article/view/245 |
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