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Rates of strong convergence for U-statistics in finite populations

Published online by Cambridge University Press:  09 April 2009

P. N. Kokic
Affiliation:
Department of Mathematical Statistics University of SydneyN.S.W. 2006, Australia
N. C. Weber
Affiliation:
Department of Mathematical Statistics University of SydneyN.S.W. 2006, Australia
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Abstract

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Let UNn be a U-statistic based on a simple random sample of size n selected without replacement from a finite population of size N. Rates of convergence results in the strong law are obtained for UNn, which are similar to those known for classical U-statistics based on samples of independent and identically distributed (iid) random variables.

MSC classification

Type
Research Article
Copyright
Copyright © Australian Mathematical Society 1991

References

Baum, L. E. and Katz, M. (1965), ‘Convergence rates in the law of large numbers’, Trans. Amer. Math. Soc. 120, 108123.CrossRefGoogle Scholar
Dharmadhikari, S. W., Fabian, V. and Jogdeo, K. (1968), ‘Bounds on the moments of martingales’, Ann. Math. Statist. 39, 17191723.CrossRefGoogle Scholar
Hoeffding, W. (1948), ‘A class of statistics with asymptotically normal distribution’, Ann. Math. Statist. 19, 293325.CrossRefGoogle Scholar
Hoeffding, W. (1963), Probability inequalities for sums of bounded random variables’, J. Amer. Statist. Assoc. 58, 1330.CrossRefGoogle Scholar
Katz, M. (1963), ‘The probability in the tail of a distribution’, Ann. Math. Statist. 34, 312318.CrossRefGoogle Scholar
Kokic, P. N. (1987), ‘Rates of convergence inthe strong law of large numbers for degenerate U-statistics’, Statist. Probab. Letters 5, 371374.CrossRefGoogle Scholar
Lin, K. (1981), ‘Convergence rate and the first exit time for U-statistics’, Bull. Inst. Math. Acad. Sin. 9 129143.Google Scholar
Nandi, H. K. and Sen, P. K. (1963), ‘Unbiased estimation of the parameters of a finite population’, Calcutta Statist. Assn. Bull. 12, 124148.CrossRefGoogle Scholar
Rosén, B. (1964), ‘Limit theorems for sampling from a finite population’, Arch. Mat. 5, 383424.Google Scholar
Sen, P. K. (1970), ‘The Hájek-Rényi inequality for sampling from a finite population’, Sankhya A 32, 181188.Google Scholar