Rank Transformations as a Bridge between Parametric and Nonparametric Statistics

作者：William Jay Conover, Ronald L. Iman · 发表于：The American Statistician · 年份：1981 · DOI：10.1080/00031305.1981.10479327 · 被引用次数：3616 · 研究领域：Advanced Statistical Methods and Models、Optimal Experimental Design Methods、Statistical and numerical algorithms

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.