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Journal of the Australian Mathematical Society. Series A. Pure Mathematics and Statistics, 3(60), p. 355-362, 1996

DOI: 10.1017/s1446788700037861

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Rates of convergence to normality for samples from a finite set of random variables

Journal article published in 1996 by R. D. John, J. Robinson
This paper was not found in any repository; the policy of its publisher is unknown or unclear.
This paper was not found in any repository; the policy of its publisher is unknown or unclear.

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Abstract

AbstractRates of convergence to normality of O(N-½) are obtained for a standardized sum of m random variables selected at random from a finite set of N random variables in two cases. In the first case, the sum is randomly normed and the variables are not restricted to being independent. The second case is an alternative proof of a result due to von Bahr, which deals with independent variables. Both results derive from a rate obtained by Höglund in the case of sampling from a finite population.

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