• 제목/요약/키워드: Weighted sums

검색결과 109건 처리시간 0.023초

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

  • 김윤경
    • 한국지능시스템학회논문지
    • /
    • 제14권7호
    • /
    • pp.852-856
    • /
    • 2004
  • 이 논문에서는 퍼지 랜덤 변수의 합에 대한 약한 대수의 법칙을 일반화로서, 컴팩트 일양 적분 가능한 수준 연속 퍼지 랜덤 변수의 가중 합이 약 수렴하기 위한 동치 조건을 구하였다.

On Convergence of Weighted Sums of LNQD Random

  • Kim, So-Youn;Baek, Jong-Il
    • Communications for Statistical Applications and Methods
    • /
    • 제19권5호
    • /
    • pp.647-654
    • /
    • 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
    • /
    • 제31권3호
    • /
    • pp.369-378
    • /
    • 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
    • 대한수학회보
    • /
    • 제56권4호
    • /
    • pp.1007-1025
    • /
    • 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
    • /
    • 제16권3호
    • /
    • pp.529-540
    • /
    • 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.