weighted rank tests;
independence tests;
locally most powerful rank tests;
D O I:
10.1007/s00184-006-0056-9
中图分类号:
O21 [概率论与数理统计];
C8 [统计学];
学科分类号:
020208 ;
070103 ;
0714 ;
摘要:
Several authors in the literature have attempted the quantification of the concept of stochastic dependence for bivariate distribution. Two weighted rank tests for testing independence against a weighted contamination alternative is proposed and their distributional properties are studied. We also derived a locally most powerful rank test for the alternative setting. The rank tests proposed are shown to be asymptotic locally most powerful for specific distributions.
机构:
Charles Univ, Fac Math & Phys, Dept Probabil & Math Stat, Prague 18675 8, Czech RepublicCharles Univ, Fac Math & Phys, Dept Probabil & Math Stat, Prague 18675 8, Czech Republic