On the characterization of distributions by their L-moments

By Jonathan R. M. Hosking. 2006

75 citations recorded by the source corpus.

Subfields: Finance, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/b4565279c3661b4a0e7ede4fbe7ab2d835c867c4

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1. Maurizio Maugeri
2. Michele Brunetti
3. T. Nanni
4. C. Simolo
5. A. Speranza
6. Chengdong Xu
7. A. Di Filippo

Citations in the corpus

• Understanding climate change-induced variations in daily temperature distributions over Italy (2010, background): “distribution. Further details and applications can be found in Hosking [1990], Vogel and Fennessey [1993], Hosking [2006] , and references therein.”
• Comparison of estimation methods for the Weibull distribution (2013, unknown): “Of the known applications, we mention: robust averaging of eventrelated potentials [40], characterization of distributions [41,42], dynamic quantile models [43], estimation of quantile mixtures [42], hedge funds modeling [44], assessing symmetry [45].”