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WROCŁAW UNIVERSITY
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Contents of PMS, Vol. 32, Fasc. 1,
pages 93 - 116
 

ASYMPTOTIC BEHAVIOUR OF LINEAR RANK STATISTICS FOR THE TWO-SAMPLE PROBLEM

Tadeusz Inglot

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.

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