Abstract
This paper considers the general linear regression model $Y_i = \sum_j \beta_j x_{ij} + \varepsilon_i$, and studies the problem of testing hypotheses about some of the $\beta$'s while regarding others as nuisance parameters. The test criteria discussed, which are based on ranks of residuals, are shown to be asymptotically distribution-free.
Citation
J. N. Adichie. "Rank Tests of Sub-Hypotheses in the General Linear Regression." Ann. Statist. 6 (5) 1012 - 1026, September, 1978. https://doi.org/10.1214/aos/1176344307
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