首页> 外文期刊>Communications in Statistics >Asymptotic normality for a non parametric estimator of conditional quantile with left-truncated data
【24h】

Asymptotic normality for a non parametric estimator of conditional quantile with left-truncated data

机译:具有左截断数据的条件分位数的非参数估计量的渐近正态性

获取原文
获取原文并翻译 | 示例
           

摘要

In this paper, we construct a non parametric estimator of conditional distribution function by the double-kernel local linear approach for left-truncated data, from which we derive the weighted double-kernel local linear estimator of conditional quantile. The asymptotic normality of the proposed estimators is also established. Finite-sample performance of the estimator is investigated via simulation.
机译:在本文中,我们采用双核局部线性方法构造了左截断数据的条件分布函数的非参数估计量,由此得出了条件分位数的加权双核局部线性估计量。还建立了所提出估计量的渐近正态性。通过仿真研究了估计器的有限样本性能。

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