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On Quantile‐based Asymmetric Family of Distributions: Properties and Inference

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  • Irène Gijbels
  • Rezaul Karim
  • Anneleen Verhasselt

Abstract

In this paper, we provide a detailed study of a general family of asymmetric densities. In the general framework, we establish expressions for important characteristics of the distributions and discuss estimation of the parameters via method‐of‐moments as well as maximum likelihood estimation. Asymptotic normality results for the estimators are provided. The results under the general framework are then applied to some specific examples of asymmetric densities. The use of the asymmetric densities is illustrated in a real‐data analysis.

Suggested Citation

  • Irène Gijbels & Rezaul Karim & Anneleen Verhasselt, 2019. "On Quantile‐based Asymmetric Family of Distributions: Properties and Inference," International Statistical Review, International Statistical Institute, vol. 87(3), pages 471-504, December.
    • Handle: RePEc:bla:istatr:v:87:y:2019:i:3:p:471-504
    DOI: 10.1111/insr.12324
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    Cited by:

    1. Gijbels, Irène & Karim, Rezaul & Verhasselt, Anneleen, 2021. "Semiparametric quantile regression using family of quantile-based asymmetric densities," Computational Statistics & Data Analysis, Elsevier, vol. 157(C).
    2. Genest Christian & Scherer Matthias, 2023. "When copulas and smoothing met: An interview with Irène Gijbels," Dependence Modeling, De Gruyter, vol. 11(1), pages 1-16, January.
    3. Francisco J. Rubio Alvarez, 2020. "Letter to the Editor: ‘On Quantile‐based Asymmetric Family of Distributions: Properties and Inference’," International Statistical Review, International Statistical Institute, vol. 88(3), pages 793-796, December.
    4. Ameijeiras-Alonso, Jose & Gijbels, Irène & Verhasselt, Anneleen, 2022. "On a family of two–piece circular distributions," Computational Statistics & Data Analysis, Elsevier, vol. 168(C).
    5. C. Adam & I. Gijbels, 2022. "Local polynomial expectile regression," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 74(2), pages 341-378, April.
    6. Baillien, Jonas & Gijbels, Irène & Verhasselt, Anneleen, 2023. "A new distance based measure of asymmetry," Journal of Multivariate Analysis, Elsevier, vol. 193(C).
    7. Irène Gijbels & Rezaul Karim & Anneleen Verhasselt, 2020. "Response to the Letter to the Editor on ‘On Quantile‐based Asymmetric Family of Distributions: Properties and Inference’," International Statistical Review, International Statistical Institute, vol. 88(3), pages 797-801, December.

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