首页> 外文期刊>Sequential analysis >Bayes Sequential Estimation for One-Parameter Exponential Family Under Asymmetric LINEX Loss Function
【24h】

Bayes Sequential Estimation for One-Parameter Exponential Family Under Asymmetric LINEX Loss Function

机译:非对称LINEX损失函数下一参数指数族的贝叶斯序列估计

获取原文
获取原文并翻译 | 示例
       

摘要

The problem of Bayes sequential estimation of the mean in one-parameter exponential family with LINEX (linear-exponential) loss function and fixed cost for each observation is considered in this article. Given a prior, a family of stopping times is proposed and shown to be asymptotically pointwise optimal and asymptotically optimal. In addition, we propose a robust sequential procedure, not depending on the distribution of outcome variables and the prior. It is shown that the procedure also shares the asymptotic properties with the asymptotically pointwise optimal rules for a large class of prior distributions.
机译:本文考虑了使用LINEX(线性指数)损失函数和每次观测的固定成本对一参数指数族的均值进行贝叶斯顺序估计的问题。在先验的情况下,提出了一系列的停止时间,并显示为渐近点向最优和渐近最优。此外,我们提出了一种可靠的顺序程序,而不取决于结果变量和先验变量的分布。结果表明,对于一类较大的先验分布,该过程还与渐近点最优规则共享渐近性质。

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