Open AccessWakeby distribution for representing annual extreme and partial duration rainfall series
Author(s) -
Öztekin Tekin
Publication year - 2007
Publication title -
meteorological applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.672
H-Index - 59
eISSN - 1469-8080
pISSN - 1350-4827
DOI - 10.1002/met.37
Subject(s) - series (stratigraphy) , extreme value theory , beta (programming language) , precipitation , statistics , beta distribution , resampling , generalized extreme value distribution , distribution (mathematics) , mathematics , environmental science , generalized pareto distribution , climatology , meteorology , geography , geology , computer science , paleontology , mathematical analysis , programming language
In this study, to measure the upper right tail estimate performances for representing annual extreme and partial duration precipitation series at 31 stations in the northeastern and southeastern United States, the results of five‐parameter Wakeby‐L moments distribution were compared to those by beta‐κ, and beta‐ P distributions. The statistics of modified Anderson‐Darling and average deviation (AD) and the bootstrap resampling to extrapolate the right tail beyond the data showed that the Wakeby distribution gave mostly better results than beta‐κ and beta‐ P , and sometimes it produced comparable results to those by beta‐κ and beta‐ P . Copyright © 2007 Royal Meteorological Society