IDEAS home Printed from https://ideas.repec.org/c/boc/bocode/s366102.html
 

SMFIT: Stata module to fit a Singh-Maddala distribution by maximum likelihood

Author

Listed:
  • Stephen P. Jenkins

    (London School of Economics)

Programming Language

Stata

Abstract

smfit fits by ML the 3 parameter Singh-Maddala distribution to sample observations on a random variable. smpred calculates statistics summarizing a Singh-Maddala distribution which has been fitted using smfit. Unit record data are assumed (rather than grouped data).

Suggested Citation

  • Stephen P. Jenkins, 1999. "SMFIT: Stata module to fit a Singh-Maddala distribution by maximum likelihood," Statistical Software Components S366102, Boston College Department of Economics, revised 16 Mar 2007.
  • Handle: RePEc:boc:bocode:s366102
    Note: This module may be installed from within Stata by typing "ssc inst smfit". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
    as

    Download full text from publisher

    File URL: http://fmwww.bc.edu/repec/bocode/s/smfit.ado
    File Function: program code
    Download Restriction: no

    File URL: http://fmwww.bc.edu/repec/bocode/s/smfit_ll.ado
    File Function: program code
    Download Restriction: no

    File URL: http://fmwww.bc.edu/repec/bocode/s/smfit.hlp
    File Function: help file
    Download Restriction: no

    File URL: http://fmwww.bc.edu/repec/bocode/s/smpred.ado
    File Function: program code
    Download Restriction: no

    File URL: http://fmwww.bc.edu/repec/bocode/s/smpred.hlp
    File Function: help file
    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:boc:bocode:s366102. 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: Christopher F Baum (email available below). General contact details of provider: https://edirc.repec.org/data/debocus.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.