IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v13y2025i2p291-d1569578.html
   My bibliography  Save this article

Statistical Aspects of Two Classes of Random Binomial Trees and Forests

Author

Listed:
  • Thierry E. Huillet

    (Laboratoire de Physique Théorique et Modélisation (CNRS, UMR 8089), CY Cergy Paris Université, 95302 Cergy-Pontoise, France)

Abstract

We consider two specific families of binomial trees and forests: simply generated binomial d -ary trees and forests versus their increasing phylogenetic version, with tree nodes in increasing order from the root to any of its leaves. The analysis (both pre-asymptotic and asymptotic) consists of some of the main statistical features of their total progenies. We take advantage of the fact that the random distribution of those trees are obtained while weighting the counts of the underlying combinatorial trees. We finally briefly stress a rich alternative randomization of combinatorial trees and forests, based on the ratio of favorable count outcomes to the total number of possible ones.

Suggested Citation

  • Thierry E. Huillet, 2025. "Statistical Aspects of Two Classes of Random Binomial Trees and Forests," Mathematics, MDPI, vol. 13(2), pages 1-31, January.
  • Handle: RePEc:gam:jmathe:v:13:y:2025:i:2:p:291-:d:1569578
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/13/2/291/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/13/2/291/
    Download Restriction: no
    ---><---

    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:gam:jmathe:v:13:y:2025:i:2:p:291-:d:1569578. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.