Rank transformations as a bridge between parametric and nonparametric statistics

W. J. Conover, Ronald L. Iman

Research output: Contribution to journalArticle

2739 Scopus citations

Abstract

Many of the more useful and powerful nonparametric procedures may be presented in a unified manner by treating them as rank transformation procedures. Rank transformation procedures are ones in which the usual parametric procedure is applied to the ranks of the data instead of to the data themselves. This technique should be viewed as a useful tool for developing nonparametric procedures to solve new problems.

Original languageEnglish
Pages (from-to)124-128
Number of pages5
JournalAmerican Statistician
Volume35
Issue number3
DOIs
StatePublished - Aug 1981

Keywords

  • Discriminant analysis
  • Experimental designs
  • Nonparametric
  • Rank transformation
  • Regression

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