A Geometric Interpretation of Inferences Based on Ranks in the Linear Model
- 1 December 1983
- journal article
- research article
- Published by JSTOR in Journal of the American Statistical Association
- Vol. 78 (384) , 885
- https://doi.org/10.2307/2288200
Abstract
Four different approaches, based on ranks, to testing hypotheses are unified through the geometry of the linear model. The various tests are identified with different but algebraically equivalent forms of the classical F test. Small sample differences are investigated via a Monte Carlo study using both rank and signed rank tests.Keywords
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