IDEAS home Printed from https://ideas.repec.org/a/bla/stanee/v79y2025i2ne70008.html
   My bibliography  Save this article

Closed‐form maximum likelihood estimator for logarithmic distribution and its asymptotic variance

Author

Listed:
  • Kévin Allan Sales Rodrigues

Abstract

This paper presents the exact analytical solution to the long‐standing problem of determining the maximum likelihood estimator (MLE) for the parameter of the logarithmic distribution. Despite having been introduced more than 80 years ago, no one has derived an explicit MLE for the logarithmic distribution parameter. In addition to this primary result, we also derive the MLE asymptotic variance and provide other related findings that further contribute to the understanding of this distribution.

Suggested Citation

  • Kévin Allan Sales Rodrigues, 2025. "Closed‐form maximum likelihood estimator for logarithmic distribution and its asymptotic variance," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 79(2), May.
    • Handle: RePEc:bla:stanee:v:79:y:2025:i:2:n:e70008
    DOI: 10.1111/stan.70008
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/stan.70008
    Download Restriction: no
    File URL: https://libkey.io/10.1111/stan.70008?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
    ---><---

    More about this item

    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:bla:stanee:v:79:y:2025:i:2:n:e70008. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0039-0402 .

    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.