Asymptotically Nonparametric Inference: An Alternative Approach to Linear Models
Lehmann, E. L.
Ann. Math. Statist., Tome 34 (1963) no. 4, p. 1494-1506 / Harvested from Project Euclid
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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.
Publié le : 1963-12-14
Classification:  
@article{1177703881,
     author = {Lehmann, E. L.},
     title = {Asymptotically Nonparametric Inference: An Alternative Approach to Linear Models},
     journal = {Ann. Math. Statist.},
     volume = {34},
     number = {4},
     year = {1963},
     pages = { 1494-1506},
     language = {en},
     url = {http://dml.mathdoc.fr/item/1177703881}
}

Lehmann, E. L. Asymptotically Nonparametric Inference: An Alternative Approach to Linear Models. Ann. Math. Statist., Tome 34 (1963) no. 4, pp.  1494-1506. http://gdmltest.u-ga.fr/item/1177703881/