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Speaking Stata: Density probability plots

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  • Nicholas J. Cox

    ()
    (University of Durham, UK)

Abstract

Density probability plots show two guesses at the density function of a continuous variable, given a data sample. The first guess is the density function of a specified distribution (e.g., normal, exponential, gamma, etc.) with appropriate parameter values plugged in. The second guess is the same density function evaluated at quantiles corresponding to plotting positions associated with the sample’s order statistics. If the specified distribution fits well, the two guesses will be close. Such plots, suggested by Jones and Daly in 1995, are explained and discussed with examples from simulated and real data. Comparisons are made with histograms, kernel density estimation, and quantile–quantile plots. Copyright 2005 by StataCorp LP.

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Bibliographic Info

Article provided by StataCorp LP in its journal Stata Journal.

Volume (Year): 5 (2005)
Issue (Month): 2 (June)
Pages: 259-273

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Handle: RePEc:tsj:stataj:v:5:y:2005:i:2:p:259-273

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Related research

Keywords: gr0012; density probability plots; distributions; histograms; kernel density estimation; quantile–quantile plots; statistical graphics;

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  1. Nicholas J. Cox, 2004. "Speaking Stata: Graphing distributions," Stata Journal, StataCorp LP, vol. 4(1), pages 66-88, March.
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