On Chung's type law of large numbers for fuzzy random variables
Let {Xnn[greater-or-equal, slanted]1} be a sequence of independent fuzzy random variables and {ann[greater-or-equal, slanted]1} a sequence of positive real numbers converging to [infinity]. In this paper we show that, under the assumption with some restrictions on [phi], a.s. if and only if in probability if and only if in L1 where . This will generalize earlier results of strong law of large numbers for random elements in a Banach space (Choi and Sung (1988). Bull. Austral. Math. Soc. 37, 93-100).
Year of publication: |
2005
|
---|---|
Authors: | Joo, Sang Yeol ; Kim, Yun Kyung ; Kwon, Joong Sung |
Published in: |
Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 74.2005, 1, p. 67-75
|
Publisher: |
Elsevier |
Keywords: | Fuzzy random variables Law of large numbers Convergence in probability Almost everywhere convergence L1-convergence Embedding |
Saved in:
Saved in favorites
Similar items by person
-
Strong Convergence for Weighted Sums of Fuzzy Random Variables
Joo, Sang Yeol, (2018)
-
Factors Associated with Employment Hope among North Korean Defectors in South Korea
Kim, Yun Kyung, (2021)
-
Kim, Yun Kyung, (2020)
- More ...