...
首页> 外文期刊>Journal of theoretical probability >On the self-normalized Cramer-type large deviation
【24h】

On the self-normalized Cramer-type large deviation

机译:关于自归一化Cramer型大偏差

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

For the self-normalized sum, S-n/V-n, it is shown that P(S-n/V-n >= x)/(1-Phi(x)) converges to 1, uniformly in a region, under the optimal assumption that the sampled distribution is in the domain of attraction of the normal law. Bounds for this convergence are given and their applications to exponential non-uniform Berry-Esseen bound are also discussed.
机译:对于自归一化的总和,Sn / Vn,表明在抽样分布的最佳假设下,P(Sn / Vn> = x)/(1-Phi(x))在一个区域内均匀收敛到1,在普通法的吸引力范围内。给出了这种收敛的界,并讨论了它们在指数不均匀Berry-Esseen界上的应用。

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