Speaking Stata: Density probability plots

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dc.creatorCox, Nicholas J.
dc.date2017-04-01T17:52:45Z
dc.date.accessioned2026-07-09T05:49:56Z
dc.descriptionDensity 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.
dc.identifierOther:gr0012
dc.identifierdoi:10.22004/ag.econ.117517
dc.identifierhttps://ageconsearch.umn.edu/record/117517/files/sjart_gr0012.pdf
dc.identifierhttp://ageconsearch.umn.edu/record/117517
dc.identifier.urihttp://hdl.handle.net/123456789/568903
dc.languageeng
dc.publisher
dc.sourcehttp://ageconsearch.umn.edu/record/117517
dc.titleSpeaking Stata: Density probability plots
dc.typeText

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