IDEAS home Printed from https://ideas.repec.org/a/spr/metcap/v17y2015i3d10.1007_s11009-013-9386-z.html
   My bibliography  Save this article

Methods and Algorithms to Test the Hausdorff and Simplex Dispersion Orders with an R Package

Author

Listed:
  • Guillermo Ayala

    (Universidad de Valencia)

  • María Concepción López-Díaz

    (Universidad de Oviedo)

  • Miguel López-Díaz

    (Universidad de Oviedo)

  • Lucía Martínez-Costa

    (Servicio de Oftalmología, Hospital Dr. Peset)

Abstract

Stochastic orders aim to order probability distributions in accordance with an appropriate criterion. Dispersion orderings are particular cases of stochastic orderings. Essentially, given two random vectors, a dispersion ordering attempts to determine which vector induces a more dispersive probability distribution. The Hausdorff and simplex dispersion orderings are two particular cases of such a kind of orders. Although they satisfy suitable properties from a theoretical point of view, the application to real problems is very complex since the study of such orders implies to determine sample values of Hausdorff distances between random convex hulls. The paper proposes two exact algorithms to test the Hausdorff and simplex dispersion orderings. A software implementation using R is provided and evaluated using a simulation study. An ophthalmological application concerned with the diabetes evaluation using the mean calibers of arteries and veins in fundus images is considered. The Hausdorff and simplex dispersion orderings are applied to the study of the effects produced by diabetes in the retinal vessels. The possible differences in dispersion that could exist between the groups defined using some categorical covariables are tested. The comparison between homogeneous groups will produce accurate results in medical research.

Suggested Citation

  • Guillermo Ayala & María Concepción López-Díaz & Miguel López-Díaz & Lucía Martínez-Costa, 2015. "Methods and Algorithms to Test the Hausdorff and Simplex Dispersion Orders with an R Package," Methodology and Computing in Applied Probability, Springer, vol. 17(3), pages 661-675, September.
  • Handle: RePEc:spr:metcap:v:17:y:2015:i:3:d:10.1007_s11009-013-9386-z
    DOI: 10.1007/s11009-013-9386-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11009-013-9386-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11009-013-9386-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ayala, Guillermo & López-Díaz, Miguel, 2009. "The simplex dispersion ordering and its application to the evaluation of human corneal endothelia," Journal of Multivariate Analysis, Elsevier, vol. 100(7), pages 1447-1464, August.
    2. Dietrich Stoyan, 1998. "Random Sets: Models and Statistics," International Statistical Review, International Statistical Institute, vol. 66(1), pages 1-27, April.
    3. Hiai, Fumio & Umegaki, Hisaharu, 1977. "Integrals, conditional expectations, and martingales of multivalued functions," Journal of Multivariate Analysis, Elsevier, vol. 7(1), pages 149-182, March.
    4. Giovagnoli, Alessandra & Wynn, H. P., 1995. "Multivariate dispersion orderings," Statistics & Probability Letters, Elsevier, vol. 22(4), pages 325-332, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. López-Díaz, Miguel, 2006. "An indexed multivariate dispersion ordering based on the Hausdorff distance," Journal of Multivariate Analysis, Elsevier, vol. 97(7), pages 1623-1637, August.
    2. Ayala, Guillermo & López-Díaz, Miguel, 2009. "The simplex dispersion ordering and its application to the evaluation of human corneal endothelia," Journal of Multivariate Analysis, Elsevier, vol. 100(7), pages 1447-1464, August.
    3. Averous, Jean & Meste, Michel, 1997. "Median Balls: An Extension of the Interquantile Intervals to Multivariate Distributions," Journal of Multivariate Analysis, Elsevier, vol. 63(2), pages 222-241, November.
    4. Arthur Charpentier & Alfred Galichon & Marc Henry, 2012. "Local Utility and Multivariate Risk Aversion," CIRJE F-Series CIRJE-F-836, CIRJE, Faculty of Economics, University of Tokyo.
    5. Belzunce, Félix & Ruiz, José M. & Suárez-Llorens, Alfonso, 2008. "On multivariate dispersion orderings based on the standard construction," Statistics & Probability Letters, Elsevier, vol. 78(3), pages 271-281, February.
    6. Wang, Rongming & Wang, Zhenpeng, 1997. "Set-Valued Stationary Processes," Journal of Multivariate Analysis, Elsevier, vol. 63(1), pages 180-198, October.
    7. Ezzaki, Fatima & Tahri, Khalid, 2019. "Representation theorem of set valued regular martingale: Application to the convergence of set valued martingale," Statistics & Probability Letters, Elsevier, vol. 154(C), pages 1-1.
    8. Reza Ezzati & Shokrollah Ziari, 2012. "Approximation of fuzzy integrals using fuzzy bernstein polynomials," Fuzzy Information and Engineering, Springer, vol. 4(4), pages 415-423, December.
    9. Lopez-Diaz, Miguel & Ralescu, Dan A., 2006. "Tools for fuzzy random variables: Embeddings and measurabilities," Computational Statistics & Data Analysis, Elsevier, vol. 51(1), pages 109-114, November.
    10. Tito Homem-de-Mello, 2001. "Estimation of Derivatives of Nonsmooth Performance Measures in Regenerative Systems," Mathematics of Operations Research, INFORMS, vol. 26(4), pages 741-768, November.
    11. Fernandez-Ponce, J. M. & Suarez-Llorens, A., 2003. "A multivariate dispersion ordering based on quantiles more widely separated," Journal of Multivariate Analysis, Elsevier, vol. 85(1), pages 40-53, April.
    12. Wang, Yangeng & Wei, Guo & Campbell, William H. & Bourquin, Steven, 2009. "A framework of induced hyperspace dynamical systems equipped with the hit-or-miss topology," Chaos, Solitons & Fractals, Elsevier, vol. 41(4), pages 1708-1717.
    13. Alfred Galichon & Arthur Charpentier & Marc Henry, 2012. "Local Utility and Risk Aversion," Post-Print hal-03569250, HAL.
    14. Jang, Lee-Chae & Kwon, Joong-Sung, 1998. "A uniform strong law of large numbers for partial sum processes of Banach space-valued random sets," Statistics & Probability Letters, Elsevier, vol. 38(1), pages 21-25, May.
    15. Kosaku Takanashi, 2017. "Local Asymptotic Normality of Infinite-Dimensional Concave Extended Linear Models," Keio-IES Discussion Paper Series 2017-012, Institute for Economics Studies, Keio University.
    16. Reza Modarres, 2020. "Graphical Comparison of High‐Dimensional Distributions," International Statistical Review, International Statistical Institute, vol. 88(3), pages 698-714, December.
    17. Fabián Flores-Bazán & Luis González-Valencia, 2021. "Characterizing Existence of Minimizers and Optimality to Nonconvex Quadratic Integrals," Journal of Optimization Theory and Applications, Springer, vol. 188(2), pages 497-522, February.
    18. Bhowmik, Anuj, 2013. "Edgeworth equilibria: separable and non-separable commodity spaces," MPRA Paper 46796, University Library of Munich, Germany.
    19. Terán, Pedro, 2003. "A strong law of large numbers for random upper semicontinuous functions under exchangeability conditions," Statistics & Probability Letters, Elsevier, vol. 65(3), pages 251-258, November.
    20. De Simone, Anna & Graziano, Maria Gabriella, 2003. "Cone conditions in oligopolistic market models," Mathematical Social Sciences, Elsevier, vol. 45(1), pages 53-73, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:metcap:v:17:y:2015:i:3:d:10.1007_s11009-013-9386-z. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.