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A weighted central limit theorem

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  • Weber, Michel

Abstract

Let be a sequence of centered square integrable iid random variables. Let be a sequence of reals and note Sn=w1X1+...+wnXn, . We obtain sharp sufficient conditions for the CLT of normalized weighted sums . We also deduce a sharp version of the ASCLT.

Suggested Citation

  • Weber, Michel, 2006. "A weighted central limit theorem," Statistics & Probability Letters, Elsevier, vol. 76(14), pages 1482-1487, August.
  • Handle: RePEc:eee:stapro:v:76:y:2006:i:14:p:1482-1487
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    Cited by:

    1. Roozegar, Rasool & Soltani, A.R., 2015. "On the asymptotic behavior of randomly weighted averages," Statistics & Probability Letters, Elsevier, vol. 96(C), pages 269-272.

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