A Strong Law of Large Numbers for Set-Valued Negatively Dependent Random Variables


  •  Li Guan    
  •  Ying Wan    

Abstract

In this paper, we shall represent a strong law of large  numbers (SLLN) for weighted sums of negative dependent set-valued random variables  in the sense of the Hausdorff metric $d_{H}$, based  on the result of single-valued  random variable obtained by Taylor (Taylor, 1978).


This work is licensed under a Creative Commons Attribution 4.0 License.
  • ISSN(Print): 1927-7032
  • ISSN(Online): 1927-7040
  • Started: 2012
  • Frequency: bimonthly

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