首页> 外文期刊>Journal of Mathematics and Statistics >EMPIRICAL LIKELIHOOD ESTIMATION BASED ON SIMULATED MOMENT CONDITIONS | Science Publications
【24h】

EMPIRICAL LIKELIHOOD ESTIMATION BASED ON SIMULATED MOMENT CONDITIONS | Science Publications

机译:基于模拟矩条件的经验似然估计科学出版物

获取原文
       

摘要

> In this study we discuss the optimization of the Empirical Likelihood (EL) criterion function when the moment condition is nonstandard. We deal with this issue following the Method of Simulated Moment (MSM) introduced and we use importance sampling method to smooth discrete moment conditions. We have demonstrated the convergence and asymptotic normality of the empirical likelihood estimator from the simulated moment conditions.
机译: >在本研究中,我们讨论了矩条件为非标准时经验似然(EL)准则函数的优化。我们根据引入的模拟矩方法(MSM)处理此问题,并使用重要性采样方法来平滑离散矩条件。我们已经从模拟的矩条件证明了经验似然估计的收敛性和渐近正态性。

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