Kernel Density Estimation With Binned Data

David W. Scott, Simon J. Sheather

Research output: Contribution to journalArticlepeer-review

85 Scopus citations


Continuous data are often measured or used in binned or rounded form. In this paper we follow up on Hall's work analyzing the effect of using equally-spaced binned data in a kernel density estimator. It is shown that a surprisingly large amount of binning does not adversely affect the integrated mean squared error of a kernel estimate.

Original languageEnglish
Pages (from-to)1353-1359
Number of pages7
JournalCommunications in Statistics - Theory and Methods
Issue number6
StatePublished - Jan 1 1985


  • Nonpar ametric density estimation
  • rounded data

ASJC Scopus subject areas

  • Statistics and Probability


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