Abstract
As an alternative to the standard analysis of variance, procedures are developed for linear models with several observations per cell which are asymptotically distribution-free and whose asymptotic efficiency relative to the standard procedures is the same as that of the Wilcoxon test relative to Student's $t$-test. Specific procedures discussed are (i) tests of linear hypotheses, (ii) confidence intervals for any contrast, (iii) simultaneous intervals for all contrasts.
Citation
E. L. Lehmann. "Asymptotically Nonparametric Inference: An Alternative Approach to Linear Models." Ann. Math. Statist. 34 (4) 1494 - 1506, December, 1963. https://doi.org/10.1214/aoms/1177703881
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