Goodness-of-Fit Tests for the Cauchy Distribution Based on the Empirical Characteristic Function
By N. Gürtler, Norbert Henze. 2000
67 citations recorded by the source corpus.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/0630f48d235939d63c204fbc0c8c3cd67cad73b7
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In Statistics and Probability
- Simos G. Meintanis
- G'abor J. Sz'ekely
- Maria L. Rizzo
- Muneya Matsui
- Norbert Henze
- Akimichi Takemura
- Marie Husková
- Arthur Gretton
Citations in the corpus
- Change Point Analysis based on Empirical Characteristic Functions (2006, methodology): “For recent applications the reader is referred to Epps (1999), Koutrouvelis and Meintanis (1999), Gurtler and Henze (2000) and Kankainen and Ushakov (1998).”
- Recent and classical tests for exponentiality: a partial review with comparisons (2005, methodology): “More recent work includes, among others, Henze et al. (2003), Gürtler and Henze (2000), Koutrouvellis and Meintanis (1999) and Kankainen and Usakakov (1998).”
- Energy statistics: A class of statistics based on distances (2013, background): “Gurtler and Henze (2000), Henze and Zirkler (1990), or Matsui and Takemura (2005).”
- Goodness-of-fit tests for symmetric stable distributions—Empirical characteristic function approach (2006, methodology): “The idea of proofs is essentially the same as that of Gurtler and Henze (2000) , based on the original proof of Csorgý o( 1983).”