IDEAS home Printed from https://ideas.repec.org/p/ebg/essewp/dr-17008.html
   My bibliography  Save this paper

New results on the order of functions at infinity

Author

Listed:
  • Cadena, Meitner

    (Universidad de las Fuerzas Armadas)

  • Kratz, Marie

    (ESSEC Research Center, ESSEC Business School)

  • Omey, Edward

    (KU Leuven)

Abstract

Recently, new classes of positive and measurable functions, M(ρ) and M(±∞), have been defined in terms of their asymptotic behaviour at infinity, when normalized by a logarithm (Cadena et al., 2015, 2016, 2017). Looking for other suitable normalizing functions than logarithm seems quite natural. It is what is developed in this paper, studying new classes of functions of the type lim x→∞ log U (x)/H(x) = ρ

Suggested Citation

  • Cadena, Meitner & Kratz, Marie & Omey, Edward, 2017. "New results on the order of functions at infinity," ESSEC Working Papers WP1708, ESSEC Research Center, ESSEC Business School.
  • Handle: RePEc:ebg:essewp:dr-17008
    as

    Download full text from publisher

    File URL: https://hal-essec.archives-ouvertes.fr/hal-01558855/document
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Meitner Cadena & Marie Kratz & Edward Omey, 2017. "New results on the order of functions at infinity," Working Papers hal-01558855, HAL.
    2. Cadena, Meitner & Kratz, Marie, 2016. "New results for tails of probability distributions according to their asymptotic decay," Statistics & Probability Letters, Elsevier, vol. 109(C), pages 178-183.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Cadena, Meitner & Kratz, Marie & Omey, Edward, 2019. "Characterization of a general class of tail probability distributions," Statistics & Probability Letters, Elsevier, vol. 154(C), pages 1-1.

    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. Cadena, Meitner & Kratz, Marie & Omey, Edward, 2019. "Characterization of a general class of tail probability distributions," Statistics & Probability Letters, Elsevier, vol. 154(C), pages 1-1.
    2. Meitner Cadena & Marie Kratz & Edward Omey, 2017. "New results on the order of functions at infinity," Working Papers hal-01558855, HAL.

    More about this item

    Keywords

    functions at infinity;

    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics

    Statistics

    Access and download statistics

    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:ebg:essewp:dr-17008. 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: Sophie Magnanou (email available below). General contact details of provider: https://edirc.repec.org/data/essecfr.html .

    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.