...
首页> 外文期刊>Communications in Statistics >Positive-rule stein-type almost unbiased ridge estimator in linear regression model
【24h】

Positive-rule stein-type almost unbiased ridge estimator in linear regression model

机译:线性回归模型中的正规则stein型几乎无偏岭估计

获取原文
获取原文并翻译 | 示例
           

摘要

In this article, when it is suspected that regression coefficients may be restricted to a subspace, we discuss the parameter estimation of regression coefficients in a multiple regression model. Then, in order to improve the preliminary test almost ridge estimator, we study the positive-rule Stein-type almost unbiased ridge estimator based on the positive-rule stein-type shrinkage estimator and almost unbiased ridge estimator. After that, quadratic bias and quadratic risk values of the new estimator are derived and compared with some relative estimators. And we also discuss the option of parameter k. Finally, we perform a real data example and a Monte Carlo study to illustrate theoretical results.
机译:在本文中,当怀疑回归系数可能限于子空间时,我们讨论了多元回归模型中回归系数的参数估计。然后,为了改进初步测试的近似岭估计,我们基于正规则stein型收缩估计和近似偏估计,研究了正规则Stein型近似无偏岭估计。之后,得出新估计量的二次偏差和二次风险值,并将其与一些相对估计量进行比较。我们还讨论了参数k的选项。最后,我们执行一个真实的数据示例和一个蒙特卡洛研究来说明理论结果。

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