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Extreme value theory in mixture distributions and a statistical method to control the possible bias

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Publication:334841
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DOI10.1016/J.JKSS.2016.04.003zbMath1348.62182OpenAlexW2354169351MaRDI QIDQ334841

Wonseon Gwak, Yang Ho Choi, Hyein Goo, Jae Youn Ahn

Publication date: 1 November 2016

Published in: Journal of the Korean Statistical Society (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jkss.2016.04.003


zbMATH Keywords

mixture distributionextreme behaviorgeneralized extreme distributionprecipitation


Mathematics Subject Classification ID

Density estimation (62G07) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Point estimation (62F10) Statistics of extreme values; tail inference (62G32)


Related Items (1)

Asymptotic order statistics of mixtures of distributions


Uses Software

  • Unnamed Item
  • ismev



Cites Work

  • Unnamed Item
  • Unnamed Item
  • Maximum likelihood estimation in a class of nonregular cases
  • Asymptotic Statistics
  • Loss Models
  • An introduction to statistical modeling of extreme values




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