Generalized Probability-Probability Plots

N.A. Mushkudiani, J.H.J. Einmahl

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We introduce generalized Probability-Probability (P-P) plots in order to study the one-sample goodness-of-fit problem and the two-sample problem, for real valued data.These plots, that are constructed by indexing with the class of closed intervals, globally preserve the properties of classical P-P plots and are distribution-free under the null hypothesis.We also define the generalized P-P plot process and the corresponding, consistent tests.The behaviour of the tests under contiguous alternatives is studied in detail; in particular, limit theorems for the generalized P-P plot processes are presented.By their structure, the tests perform very well for spike (or pulse) alternatives.We also study the finite sample properties of the tests through a simulation study.
Original languageEnglish
Place of PublicationTilburg
Number of pages20
Publication statusPublished - 2004

Publication series

NameCentER Discussion Paper


  • probability theory
  • limit theorems

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    Mushkudiani, N. A., & Einmahl, J. H. J. (2004). Generalized Probability-Probability Plots. (CentER Discussion Paper; Vol. 2004-84). Econometrics.