2014
DOI: 10.1007/s10492-014-0048-4
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Complete convergence in mean for double arrays of random variables with values in Banach spaces

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Cited by 4 publications
(5 citation statements)
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“…It plays an important role in proving Theorem 4.1. For the special case p = q, Dung et al [5], Quang and Huan [17], and Son et al [23] obtained a similar result. Theorem 3.3.…”
Section: Thereby Establishing (3)mentioning
confidence: 67%
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“…It plays an important role in proving Theorem 4.1. For the special case p = q, Dung et al [5], Quang and Huan [17], and Son et al [23] obtained a similar result. Theorem 3.3.…”
Section: Thereby Establishing (3)mentioning
confidence: 67%
“…In [18], Rosalsky and Thành established a Kolmogorov-Doob-type maximal inequality for normed double sums of independent random elements in a Rademacher type p Banach space. Dung et al [5], Quang and Huan [17], and Son et al [23] established a Kolmogorov-Doob-type maximal inequality for normed double sums of random elements taking values in a martingale type p Banach space. In this paper, we further generalize the Dung et al [5], Quang and Huan [17], and Son et al [23] results by considering the case where the moments are of higher order than p. We then use the obtained result to obtain a mean convergence theorem for the maximum of normed and suitably centered double sums of random elements taking values in a real separable martingale type p Banach space.…”
mentioning
confidence: 99%
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“…(ii) Recently, Son, Thang and Dung [20] proved a result on complete convergence in mean of order p without assuming that the summands are independent. More precise, they proved that for arbitrary double array {V mn , m ≥ 1, n ≥ 1} in a real separable Banach space, the condition Their result and ours are not comparable and do not imply each other, and our proof is completely different from theirs.…”
Section: Resultsmentioning
confidence: 99%