Using the \(gh\) distribution to model extreme wind speeds.

DOI10.1016/J.JSPI.2003.06.010zbMath1040.62107OpenAlexW2023996847MaRDI QIDQ1429870

C. A. Field

Publication date: 27 May 2004

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2003.06.010

zbMATH Keywords

RobustmethodsAnderson-Darling statisticExtreme windsgh distributionJackknifing by halvesOceanic winds

Mathematics Subject Classification ID

Nonparametric robustness (62G35) Applications of statistics to environmental and related topics (62P12) Statistics of extreme values; tail inference (62G32)

Related Items (7)

Robust estimation of the parameters of \(g\)-\textit{and}-\(h\) distributions, with applications to outlier detection ⋮ Efficient maximum approximated likelihood inference for Tukey's \(g\)-and-\(h\) distribution ⋮ Parameter estimation of Tukey-type distributions: A comparative analysis ⋮ Multivariate transformed Gaussian processes ⋮ Multiple imputation using multivariateghtransformations ⋮ Lambert \(W\) random variables -- a new family of generalized skewed distributions with applications to risk estimation ⋮ Generalized spatial stick-breaking processes

Cites Work

• Robust estimation of extremes
• A Test of Goodness of Fit

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