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From
TL-Moment-Based Regional Frequency Analysis of Extreme Rainfall Using Ward's Clustering and Kappa-Type Distributions
Muhammad Nura, Zahratul Amani Binti Zakaria
American Journal of Water Resources
.
2026
, 14(2), 46-54 doi:10.12691/ajwr-14-2-3
Table 1. Descriptive statistics for 179 quality-controlled stations, Peninsular Malaysia (1971–2023)
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Table 2. Properties of the four candidate probability distributions
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Table 3. Average silhouette width (ASW) and supplementary cluster validity indices for Ward's clustering, k = 2 to 6
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Table 4. Regional moment ratios and H₁ heterogeneity statistics
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Table 5. Z-statistic goodness-of-fit results for all distributions and estimation methods
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Table 6a. Normalised growth-factor quantiles QT for Region R1 (N=55; mean=115.0 mm)
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Table 6b. Normalised growth-factor quantiles QT for Region R2 (N=94; mean=117.7 mm)
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Table 6c. Normalised growth-factor quantiles QT for Region R3 (N=30; mean=200.9 mm)
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Table 7. Parametric bootstrap 90% confidence intervals for regional growth-factor quantiles (B = 1,000 replicates; best-fit L-moment distributions)
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Table A1. K3D-II TL-moment polynomial approximation validation statistics
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