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Information Journal Paper

Title

THE ALMOST SURE CONVERGENCE FOR WEIGHTED SUMS OF LINEAR NEGATIVELY DEPENDENT RANDOM VARIABLES

Pages

  67-72

Abstract

 In this paper, we generalize a theorem of Shao [12] by assuming that {Xn} is a sequence of LINEAR NEGATIVELY DEPENDENT random variables. Also, we extend some theorems of Chao [6] and Thrum [14]. It is shown by an elementary method that for LINEAR NEGATIVELY DEPENDENT identically random variables with finite p –th absolute moment (p³2) p the weighted sums 1/An åni=1 aniXi converge to zero as where An=n1/p and (åni=1 a2ni) {an,i} a is an array of real numbers. Moreover, we prove the almost sure convergence for weighted sums åni=1 aniX, n³1, when {Xi, i ³ 1} i is a sequence of pairwise negative quadrant dependence stochastically bounded random variables under some suitable conditions on an,i.

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  • Cite

    APA: Copy

    NILI SANI, H.R., AMINI, M., & BOZORGNIA, A.. (2009). THE ALMOST SURE CONVERGENCE FOR WEIGHTED SUMS OF LINEAR NEGATIVELY DEPENDENT RANDOM VARIABLES. JOURNAL OF SCIENCES ISLAMIC REPUBLIC OF IRAN, 20(1), 67-72. SID. https://sid.ir/paper/84183/en

    Vancouver: Copy

    NILI SANI H.R., AMINI M., BOZORGNIA A.. THE ALMOST SURE CONVERGENCE FOR WEIGHTED SUMS OF LINEAR NEGATIVELY DEPENDENT RANDOM VARIABLES. JOURNAL OF SCIENCES ISLAMIC REPUBLIC OF IRAN[Internet]. 2009;20(1):67-72. Available from: https://sid.ir/paper/84183/en

    IEEE: Copy

    H.R. NILI SANI, M. AMINI, and A. BOZORGNIA, “THE ALMOST SURE CONVERGENCE FOR WEIGHTED SUMS OF LINEAR NEGATIVELY DEPENDENT RANDOM VARIABLES,” JOURNAL OF SCIENCES ISLAMIC REPUBLIC OF IRAN, vol. 20, no. 1, pp. 67–72, 2009, [Online]. Available: https://sid.ir/paper/84183/en

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