• Title/Summary/Keyword: weighted sums

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COMPLETE CONVERGENCE FOR WEIGHTED SUMS OF RANDOM ELEMENTS

  • Sung, Soo-Hak
    • Bulletin of the Korean Mathematical Society
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    • v.47 no.2
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    • pp.369-383
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    • 2010
  • We obtain a result on complete convergence of weighted sums for arrays of rowwise independent Banach space valued random elements. No assumptions are given on the geometry of the underlying Banach space. The result generalizes the main results of Ahmed et al. [1], Chen et al. [2], and Volodin et al. [14].

Weak convergence for weighted sums of level-continuous fuzzy random variables (수준 연속인 퍼지 랜덤 변수의 가중 합에 대한 약 수렴성)

  • Kim, Yun-Kyong
    • Journal of the Korean Institute of Intelligent Systems
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    • v.14 no.7
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    • pp.852-856
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    • 2004
  • The present paper establishes a necessary and sufficient condition for weak convergence for weighted sums of compactly uniformly integrable level-continuous fuzzy random variables as a generalization of weak laws of large numbers for sums of fuzzy random variables.

On Convergence of Weighted Sums of LNQD Random

  • Kim, So-Youn;Baek, Jong-Il
    • Communications for Statistical Applications and Methods
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    • v.19 no.5
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    • pp.647-654
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    • 2012
  • We discuss the strong convergence for weighted sums of linearly negative quadrant dependent(LNQD) random variables under suitable conditions and the central limit theorem for weighted sums of an LNQD case is also considered. In addition, we derive some corollaries in LNQD setting.

On the Strong Laws for Weighted Sums of AANA Random Variables

  • Kim, Tae-Sung;Ko, Mi-Hwa;Chung, Sung-Mo
    • Journal of the Korean Statistical Society
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    • v.31 no.3
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    • pp.369-378
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    • 2002
  • Strong laws of large numbers for weighted sums of asymptotically almost negatively associated(AANA) sequence are proved by our generalized maximal inequality for AANA random variables at a crucial step.

COMPLETE CONVERGENCE AND COMPLETE MOMENT CONVERGENCE THEOREMS FOR WEIGHTED SUMS OF ARRAYS OF ROWWISE EXTENDED NEGATIVELY DEPENDENT RANDOM VARIABLES

  • Huang, Haiwu;Zhang, Qingxia
    • Bulletin of the Korean Mathematical Society
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    • v.56 no.4
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    • pp.1007-1025
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    • 2019
  • In the present work, the complete convergence and complete moment convergence properties for arrays of rowwise extended negatively dependent (END) random variables are investigated. Some sharp theorems on these strong convergence for weighted sums of END cases are established. These main results not only generalize the known corresponding ones of Cai [2], Wang et al. [17] and Shen [14], but also improve them, respectively.

Weak Laws of Large Numbers for Weighted Sums of Fuzzy Random Variables

  • Hyun, Young-Nam;Kim, Yun-Kyong;Kim, Young-Ju;Joo, Sang-Yeol
    • Communications for Statistical Applications and Methods
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    • v.16 no.3
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    • pp.529-540
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    • 2009
  • In this paper, we present some results on weak laws of large numbers for weighted sums of fuzzy random variables taking values in the space of fuzzy numbers of the real line R. We first give improvements of WLLN for weighted sums of convex-compactly uniformly integrable fuzzy random variables obtained by Joo and Hyun (2005). And then, we consider the case that the averages of expectations of fuzzy random variables converges. As results, WLLN for weighted sums of convexly tight or identically distributed case is obtained.