不具有平稳分布的负相协随机变量的强大数定律

The Strong Law of Large Number for Negatively Associated Random Variables without Stationary Distribution

  • 摘要: 本文应用Shao所提供的极大值矩不等式给出了两个不具有平稳分布的负相协随机变量列的强大数定律。

     

    Abstract: In this article, we prove two strong laws of large number for negatively associated random variables without stationary distribution. The proof is based on the maximal moment inequality provided by Shao. In this article, we used the conditions about arbitrary an ↑ +∞ and 1 ≤p≤ 2, q≥ 1, so we can get many other strong laws of large number for negatively associated random variables without stationary distribution by giving different an, p and q, and so the application of the theorems is more extensive.

     

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