Theory of Nonparametric Tests by Thorsten Dickhaus
Author:Thorsten Dickhaus
Language: eng
Format: epub, pdf
Publisher: Springer International Publishing, Cham
with denoting the expectation with respect to and scores .
Remark 4.21
(a)The test statistic
(4.8)
is called a linear rank statistic.
(b)The homogeneity hypothesis H 0 from (4.3) leads under conditioning on R(Yâ) to a simple null hypothesis on , namely, the discrete uniform distribution on , see part (b) of Lemma 4.13. Therefore, the critical value c(α) for the rank test Ïâ=âÏ(R(Yâ)), given by
(4.9)
can be computed by traversing all possible permutations and thereby determining the discrete permutation distribution of T(Yâ) under H 0. The test Ï from (4.9) is a locally best rank test at level α for the test problem {ðâ=â0} versus {ðâ>â0} in the chosen auxiliary parametric model , cf. Example 4.10. For large n, we can approximate c(α) by traversing only Bâ<ân! randomly chosen permutations .
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