Application of the r largest-order statistics for long-term predictions of significant wave height

By Carlos Soares, Manuel G. Scotto. 2004

147 citations recorded by the source corpus.

Subfields: Finance, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/76c8acda981a3d691d72d8d33c97c6f947c1cbe4

How researchers see this paper

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In Finance

1. O. Aarnes
2. Ø. Breivik
3. M. Reistad

In Global and Planetary Change

1. O. Aarnes
2. Ø. Breivik
3. M. Reistad

Citations in the corpus

• Wave Extremes in the Northeast Atlantic (2012, methodology): “Alternatively, a fixed number r of the highest peaks within each block can be extracted to utilize the joint GEV distribution for the r largest-order statistic (see, e.g., Soares and Scotto 2004).”
• Estimation of the long‐term variability of extreme significant wave height using a time‐dependent Peak Over Threshold (POT) model (2006, background): “A wide range of values of Dt has been found in the literature (e.g., Morton et al. [1997] used Dt =1.25 days, whereas Guedes Soares and Scotto [2004] chose Dt = 20 days).”