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Quantile estimation via distribution fitting

Tom 46 / 2019

Alicja Jokiel-Rokita, Agnieszka Siedlaczek Applicationes Mathematicae 46 (2019), 283-301 MSC: Primary 62G05; Secondary 62G30. DOI: 10.4064/am2384-3-2019 Opublikowany online: 23 July 2019

Streszczenie

This paper focuses on nonparametric estimation of quantiles, based on estimators of the distribution function. We review some known and recommended quantile estimators and propose a new one, which has all the desired properties of quantile estimators. The consistency and asymptotic normality of the estimators is proved. The estimators considered are compared in a small simulation study.

Autorzy

  • Alicja Jokiel-RokitaFaculty of Pure and Applied Mathematics
    Wrocław University of Science and Technology
    Wybrzeże Wyspiańskiego 27
    50-370 Wrocław, Poland
    e-mail
  • Agnieszka SiedlaczekInstitute of Mathematics and Computer Science
    University of Opole
    Pl. Kopernika 11a
    45-040 Opole, Poland
    e-mail

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