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A Universal QQ-Plot for Continuous Non-homogeneous Populations


  • Alberto Luceno


This article presents a universal quantile-quantile (QQ) plot that may be used to assess the fit of a family of absolutely continuous distribution functions in a possibly non-homogeneous population. This plot is more general than probability plotting papers because it may be used for distributions having more than two parameters. It is also more general than standard quantile-quantile plots because it may be used for families of not-necessarily identical distributions. In particular, the universal QQ plot may be used in the context of non-homogeneous Poisson processes, generalized linear models, and other general models.

Suggested Citation

  • Alberto Luceno, 2007. "A Universal QQ-Plot for Continuous Non-homogeneous Populations," Journal of Applied Statistics, Taylor & Francis Journals, vol. 34(10), pages 1207-1223.
  • Handle: RePEc:taf:japsta:v:34:y:2007:i:10:p:1207-1223 DOI: 10.1080/02664760701592786

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    References listed on IDEAS

    1. Schraepler, Joerg-Peter & Wagner, Gert G., 2003. "Identification, Characteristics and Impact of Faked Interviews in Surveys: An Analysis by Means of Genuine Fakes in the Raw Data of SOEP," IZA Discussion Papers 969, Institute for the Study of Labor (IZA).
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