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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
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