首页> 外文期刊>Statistical Methodology >Strong laws of large numbers and mean convergence theorems for randomly weighted sums of arrays under a condition of integrability
【24h】

Strong laws of large numbers and mean convergence theorems for randomly weighted sums of arrays under a condition of integrability

机译:可积条件下随机加权数组和的强大数定律和均值收敛定理

获取原文
获取原文并翻译 | 示例
           

摘要

Let (X_(ni), u_n ≤ i ≤ v_n, n ≥ 1) and (A_(ni), u_n ≤io_n,n≥1) be two arrays of random variables. A new concept of integrability for an array of random variables (X_(ni)) with respect to an array of random variables (A_(ni)) is introduced. Under these notions of integrability and appropriate conditions on the array of random weights, strong laws of large numbers and mean convergence theorems for the randomly weighted sums ∑_i=u_n~u_n (A_(ni)X_(ni) - EA_(ni)X_(ni)) are obtained. Our results extend and sharpen the known results in the literature.
机译:令(X_(ni),u_n≤i≤v_n,n≥1)和(A_(ni),u_n≤io_n,n≥1)是两个随机变量数组。引入了关于随机变量数组(X_(ni))相对于随机变量数组(A_(ni))的可积性的新概念。在这些可积性概念和随机权重数组上的适当条件下,随机加权和∑_i = u_n〜u_n(A_(ni)X_(ni)-EA_(ni)X_ (ni))。我们的结果扩展并完善了文献中的已知结果。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号