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The central limit problem for trimmed sums

Published online by Cambridge University Press:  24 October 2008

Philip S. Griffin
Affiliation:
Department of Mathematics, Syracuse University, Syracuse, NY 13210, U.S.A.
William E. Pruitt
Affiliation:
School of Mathematics, University of Minnesota, Minneapolis, MN 55455, U.S.A.

Extract

Let X, X1, X2,… be a sequence of non-degenerate i.i.d. random variables with common distribution function F. For 1 ≤ jn, let mn(j) be the number of Xi satisfying either |Xi| > |Xj|, 1 ≤ in, or |Xi| = |Xj|, 1 ≤ ij, and let (r)Xn = Xj if mn(j) = r. Thus (r)Xn is the rth largest random variable in absolute value from amongst X1, …, Xn with ties being broken according to the order in which the random variables occur. Set (r)Sn = (r+1)Xn + … + (n)Xn and write Sn for (0)Sn. We will refer to (r)Sn as a trimmed sum.

Type
Research Article
Copyright
Copyright © Cambridge Philosophical Society 1987

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References

REFERENCES

[1]Arov, D. Z. and Bobrov, A. A.. The extreme terms of a sample and their role in the sum of independent random variables. Theor. Probab. Appl. 5 (1960), 377396.Google Scholar
[2]Darling, D. A.. The influence of the maximum term in the addition of independent random variables. Trans. Amer. Math. Soc. 73 (1952), 95107.Google Scholar
[3]Csörgő, S., Horvath, L. and Mason, D. M.. What portion of the sample makes a partial sum asymptotically stable or normal? Prob. Theory and Rel. Fields 72 (1986), 116.CrossRefGoogle Scholar
[4]Feller, W.. On regular variation and local limit theorems. Proc. Fifth Berkeley Symp. Math. Statist. Probab. Vol. II, Part 1 (University of California Press, 1967), 373388.Google Scholar
[5]Feller, W.. An Introduction to Probability Theory and its Applications, Vol. II, Second Edition (John Wiley and Sons, 1971).Google Scholar
[6]Griffin, P. S. and Pruitt, W. E.. Asymptotic normality and subsequential limits of trimmed sums. Preprint.Google Scholar
[7]Hall, P.. On the extreme terms of a sample from the domain of attraction of a stable law. J. London Math. Soc. 18 (1978), 181191.Google Scholar
[8]Maller, R. A.. Asymptotic normality of lightly trimmed means – a converse. Math. Proc. Cambridge Philos. Soc. 92 (1982), 535545.Google Scholar
[9]Maller, R. A.. Asymptotic normality of trimmed sums in higher dimensions. Preprint.Google Scholar
[10]Mori, T.. On the limit distributions of lightly trimmed sums. Math. Proc. Cambridge Philos. Soc. 96 (1984), 507516.Google Scholar
[11]Pruitt, W. E.. Sums of independent random variables with the extreme terms excluded. Preprint.Google Scholar
[12]Stigler, S. M.. The asymptotic distribution of the trimmed mean. Ann. Statist. 1 (1973), 472477.Google Scholar