ASYMPTOTIC BEHAVIOUR OF LINEAR RANK STATISTICS FOR THE
TWO-SAMPLE PROBLEM
Abstract: Applying the strong approximation technique we present a unified approach to
asymptotic results for multivariate linear rank statistics for the two-sample problem. We
reprove asymptotic normality of these statistics under the null hypothesis and under local
alternatives convergent at a moderate rate to the null hypothesis. We also provide a moderate
deviation theorem for these statistics under the null hypothesis. Proofs are short and use
natural argumentation.
2000 AMS Mathematics Subject Classification: Primary: 62E20; Secondary: 62G20,
60F15, 60F05, 60F10.
Keywords and phrases: Two-sample problem, linear rank statistics, Hungarian
construction, moderate deviations, local alternatives, asymptotic distribution, asymptotic
normality.