Rank Tests for Bivariate Symmetry
Snijders, Tom
Ann. Statist., Tome 9 (1981) no. 1, p. 1087-1095 / Harvested from Project Euclid
The problem is considered of testing symmetry of a bivariate distribution $\mathscr{L}(X, Y)$ against "asymmetry towards high $X$-values," subject to the restriction of invariance under the transformations $(x_i, y_i) \mapsto (g(x_i), g(y_i)) (1 \leq i \leq n)$ for increasing bijections $g$. This invariance restriction prohibits the common reduction to the differences $x_i - y_i$. The intuitive concept of "asymmetry towards high $X$-values" is approached in several ways, and a mathematical formulation for this concept is proposed. Most powerful and locally most powerful invariant similar tests against certain subalternatives are characterized by means of a Hoeffding formula. Asymptotic normality and consistency results are obtained for appropriate linear rank tests.
Publié le : 1981-09-14
Classification:  Nonparametric tests,  bivariate symmetry and asymmetry,  locally most powerful tests,  asymptotic normality,  62G10,  62A05,  62C99,  62E20
@article{1176345588,
     author = {Snijders, Tom},
     title = {Rank Tests for Bivariate Symmetry},
     journal = {Ann. Statist.},
     volume = {9},
     number = {1},
     year = {1981},
     pages = { 1087-1095},
     language = {en},
     url = {http://dml.mathdoc.fr/item/1176345588}
}
Snijders, Tom. Rank Tests for Bivariate Symmetry. Ann. Statist., Tome 9 (1981) no. 1, pp.  1087-1095. http://gdmltest.u-ga.fr/item/1176345588/