A gamma tail statistic and its asymptotics

DOI DOI DOI Web Site 参考文献11件 オープンアクセス
  • Toshiya Iwashita
    Institute of Arts and Sciences Tokyo University of Science Tokyo Japan
  • Bernhard Klar
    Institute of Stochastics Karlsruhe Institute of Technology (KIT) Karlsruhe Germany

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<jats:p>Asmussen and Lehtomaa [Distinguishing log‐concavity from heavy tails. Risks 5(10), 2017] introduced an interesting function which is able to distinguish between log‐convex and log‐concave tail behavior of distributions, and proposed a randomized estimator for . In this paper, we show that can also be seen as a tool to detect gamma distributions or distributions with gamma tail. We construct a more efficient estimator based on ‐statistics, propose several estimators of the (asymptotic) variance of , and study their performance by simulations. Finally, the methods are applied to several datasets of daily precipitation.</jats:p>

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