Use of Ranks in One-Criterion Variance Analysis
Journal of the American Statistical Association · 1952 · 11.5K citations · 53 references
Ranking AlgorithmStatistical FoundationLearning To RankSocial RankingSampling (Statistics)BiostatisticsStatistical InferenceC SumsIth SampleStatistical ScienceDescriptive StatisticN I ObservationsStatisticsOne-criterion Variance Analysis
Abstract Given C samples, with n i observations in the ith sample, a test of the hypothesis that the samples are from the same population may be made by ranking the observations from from 1 to Σn i (giving each observation in a group of ties the mean of the ranks tied for), finding the C sums of ranks, and computing a statistic H. Under the stated hypothesis, H is distributed approximately as χ2(C – 1), unless the samples are too small, in which case special approximations or exact tables are provided. One of the most important applications of the test is in detecting differences among the population means.Footnote* * Based in part on research supported by the Office of Naval Research at the Statistical Research Center, University of Chicago. Notes * Based in part on research supported by the Office of Naval Research at the Statistical Research Center, University of Chicago.
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Individual Comparisons by Ranking Methods
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