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On the weak law of large numbers for normed weighted sums of I.I.D. random variables

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  • André Adler
  • Andrew Rosalsky

Abstract

For weighted sums ∑ j = 1 n a j Y j of independent and identically distributed random variables { Y n , n ≥ 1 } , a general weak law of large numbers of the form ( ∑ j = 1 n a j Y j − ν n ) / b n → P 0 is established where { ν n , n ≥ 1 } and { b n , n ≥ 1 } are statable constants. The hypotheses involve both the behavior of the tail of the distribution of | Y 1 | and the growth behaviors of the constants { a n , n ≥ 1 } and { b n , n ≥ 1 } . Moreover, a weak law is proved for weighted sums ∑ j = 1 n a j Y j indexed by random variables { T n , n ≥ 1 } . An example is presented wherein the weak law holds but the strong law fails thereby generalizing a classical example.

Suggested Citation

  • André Adler & Andrew Rosalsky, 1991. "On the weak law of large numbers for normed weighted sums of I.I.D. random variables," International Journal of Mathematics and Mathematical Sciences, Hindawi, vol. 14, pages 1-12, January.
  • Handle: RePEc:hin:jijmms:504237
    DOI: 10.1155/S0161171291000182
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    Cited by:

    1. André Adler & Andrew Rosalsky & Andrej I. Volodin, 1997. "Weak Laws with Random Indices for Arrays of Random Elements in Rademacher Type p Banach Spaces," Journal of Theoretical Probability, Springer, vol. 10(3), pages 605-623, July.

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