articleTop 10% cited
A Cluster Analysis Method for Grouping Means in the Analysis of Variance
Biometrics · 1974 · Vol. 30(3) · pp. 507–507
Abstract
It is sometimes useful in an analysis of variance to split the treatments into reasonably homogeneous groups. Multiple comparison procedures are often used for this purpose, but a more direct method is to use the techniques of cluster analysis. This approach is illustrated for several sets of data, and a likelihood ratio test is developed for judging the significance of differences among the resulting groups.
Statistical Methods in Clinical TrialsOptimal Experimental Design MethodsAdvanced Statistical Methods and ModelsVariance (accounting)Cluster (spacecraft)StatisticsAnalysis of varianceHomogeneousOne-way analysis of varianceComputer scienceMathematicsCombinatorics
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References
Multiple Range and Multiple F Tests
Biometrics · 1955 · 22,926 citations
Comparing Individual Means in the Analysis of Variance
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