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Article

Keywords:
hypothesis of randomness; weak law of large numbers; randomized ranks; averaged scores
Summary:
The author studies the linear rank statistics for testing the pypothesis of randomness against the alternative of two samples provided both are drawn grom discrete (integer-valued) distributions. The weak law of large numbers and the exact slope are obtained for statistics with randomized ranks of with averaged scores.
References:
[1] J. Hájek: Asymptotic sufficiency of the vector of ranks in the Bahadur sense. Ann. Statist. 2(1974), 1105-1125. MR 0356355
[2] M. Raghavachari: On the theorem of Bahadur on the rate of convergence of test statistics. Ann. Math. Statist. 41 (1970), 1695-1699. DOI 10.1214/aoms/1177696813 | MR 0266361
[3] G. G. Woodworth: Large deviations and Bahadur efficiency of linear rank statistics. Ann. Math. Statist. 41 (1970), 251-283. DOI 10.1214/aoms/1177697206 | MR 0264804 | Zbl 0211.50502
[4] D. Vorlíčková: Asymptotic properties of rank tests under discrete distributions. Z. Wahrscheinlichkeitstheorie. verw. Geb. 14 (1970), 275-289. DOI 10.1007/BF00533666 | MR 0269049
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