2007
DOI: 10.1016/j.spl.2007.01.015
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Some strong limit theorems of weighted sums for negatively dependent generalized Gaussian random variables

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Cited by 16 publications
(23 citation statements)
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“…Our results are more general and different from the results of Amini et al [1] since we do not need the assumption that a particular conditional expectation of the considered random variables is equal to zero, as it is required in Amini et al [1]. Our results are different from the results of Amini et al [2] since we consider the wider class of ϕ-subgaussian random variables.…”
Section: Introductioncontrasting
confidence: 94%
See 3 more Smart Citations
“…Our results are more general and different from the results of Amini et al [1] since we do not need the assumption that a particular conditional expectation of the considered random variables is equal to zero, as it is required in Amini et al [1]. Our results are different from the results of Amini et al [2] since we consider the wider class of ϕ-subgaussian random variables.…”
Section: Introductioncontrasting
confidence: 94%
“…The main results are two theorems presented in Section 3. In Section 4 we give applications to the case of negatively dependent random variables and show how our statements are related to those in Amini et al [1,2] in the special case of classical subgaussian random variables; this type of variables is also discussed in Section 5, where we mainly consider the case of m-dependent random variables and show that our results are stronger than those in Ouy [17]. In Section 6 we present other corollaries.…”
Section: Introductionmentioning
confidence: 61%
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“…A number of limit theorems for NOD random variables have been established by many authors. We refer to Volodin [4] for the Kolmogorov exponential inequality, Asadian et al [5] for the Rosental's-type inequality, Amini et al [6,7], Klesov et al [8], and Li et al [9] for almost sure convergence, Amini and Bozorgnia [10,11], Kuczmaszewska [12], Taylor et al [13], Zarei and Jabbari [14] and Wu [15] for complete convergence, and so on.…”
Section: G(|t|)mentioning
confidence: 99%