2004
DOI: 10.1081/sap-120037623
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The Strong Law of Large Numbers for Negatively Dependent Generalized Gaussian Random Variables

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Cited by 15 publications
(17 citation statements)
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“…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: 56%
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“…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: 56%
“…There are three more papers that are closely related to our investigation: Ouy [17] and Amini et al [1,2]. First of all, we point out that our results are more general than all of the above quoted papers since we consider the wider class of ϕ-subgaussian random variables.…”
Section: Introductionmentioning
confidence: 79%
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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%