Journal ArticleDOI
A modified Mann-Kendall trend test for autocorrelated data
TLDR
In this paper, the effect of autocorrelation on the variance of the Mann-Kendall trend test statistic is discussed, and a modified non-parametric trend test is proposed.Citations
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The influence of autocorrelation on the ability to detect trend in hydrological series
TL;DR: In this article, the authors investigated the effect of serial correlation on the performance of the Mann-Kendall (MK) statistic and showed that the presence of a trend alters the estimate of the magnitude of serial correlations.
Journal ArticleDOI
Global warming benefits the small in aquatic ecosystems
TL;DR: This study provides evidence that reduced body size is the third universal ecological response to global warming in aquatic systems besides the shift of species ranges toward higher altitudes and latitudes and the seasonal shifts in life cycle events.
Journal ArticleDOI
Trend detection in hydrologic data: The Mann–Kendall trend test under the scaling hypothesis
TL;DR: In this article, the Mann-Kendall test is modified to account for the effect of scaling in hydrologic data, and the results show a considerable reduction in the number of stations with significant trends when the effects of scaling are taken into account.
Journal ArticleDOI
The Mann-Kendall test modified by effective sample size to detect trend in serially correlated hydrological series
Sheng Yue,ChunYuan Wang +1 more
TL;DR: In this paper, effective sample size (ESS) has been proposed to modify the nonparametric Mann-Kendall (MK) statistical test to assess the significance of trend in hydrological time series.
Journal ArticleDOI
Increasing risk of compound flooding from storm surge and rainfall for major US cities
TL;DR: The co-occurrence of storm surge and heavy precipitation can compound coastal flooding, and the probability of such cooccurrences for the US has increased significantly over the past century as mentioned in this paper.
References
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Journal ArticleDOI
Estimates of the Regression Coefficient Based on Kendall's Tau
TL;DR: In this article, a simple and robust estimator of regression coefficient β based on Kendall's rank correlation tau is studied, where the point estimator is the median of the set of slopes (Yj - Yi )/(tj-ti ) joining pairs of points with ti ≠ ti.
Book
Rank correlation methods
TL;DR: The measurement of rank correlation was introduced in this paper, and rank correlation tied ranks tests of significance were applied to the problem of m ranking, and variate values were used to measure rank correlation.
Journal ArticleDOI
Techniques of trend analysis for monthly water quality data
TL;DR: The seasonal Kendall test as discussed by the authors is a nonparametric test for trend applicable to data sets with seasonality, missing values, or values reported as "less than" or values below the limit of detection.
Journal ArticleDOI
A Nonparametric Trend Test for Seasonal Data With Serial Dependence
TL;DR: In this article, an extension of the Mann-Kendall test for trend in seasonal (e.g., monthly) hydrologic time series is presented, which is robust against nonnormality and censoring.