Inference from grouped continuous data: A review

Research output: Contribution to journalArticle

87 Scopus citations

Abstract

"Grouped" data are defined to be the result of observing continuous variables only up to the nearest interval, rectangle or triangle. This paper traces the development of statistical methods for grouped data, focusing on the major results and their interpretations. It emphasizes the impact of likelihood and Bayesian ideas on the analysis of grouped data, particularly as they influence current work.

Original languageEnglish (US)
Pages (from-to)164-179
Number of pages16
JournalStatistical Science
Volume4
Issue number2
DOIs
StatePublished - Jan 1 1989

Keywords

  • Asymptotic expansion
  • Heaping
  • Incomplete data
  • Interval censoring
  • Rounding
  • Sheppard’s corrections

ASJC Scopus subject areas

  • Statistics and Probability
  • Mathematics(all)
  • Statistics, Probability and Uncertainty

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