A note on complete convergence for arrays
We extend and generalize some recent results on complete convergence for independent non-identically distributed random variables (cf. Duncan and Szynal, 1984; Gut, 1992; Hu et al., 1989). In the main result no assumptions are made concerning the existence of expected values or absolute moments of the random variables. Some well-known results from the literature can be easily obtained from our theorem.
Year of publication: |
1998
|
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Authors: | Hu, T. -C. ; Szynal, D. ; Volodin, A. I. |
Published in: |
Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 38.1998, 1, p. 27-31
|
Publisher: |
Elsevier |
Keywords: | Array Rowwise independence Sums of independent random variables Complete convergence Strong law of large numbers |
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