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).


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