摘要
为提高有限总体均值估计的精度,文章定义了一种新的含双辅助变量的回归估计,研究了新估计量的均方误差,并证明了在一定条件下新的回归估计精度要优于传统的B.Ghosh多元回归估计,并通过数值验证。
In order to improve the accuracy of the estimation for the finite population mean,we propose a new regression estimator u- sing two auxiliary variables. We obtain mean square error of the proposed estimator and theoretically compare it with the traditional B. Ghosh multivariate regression estimator. By the comparison ,we show the condition that the proposed estimator is more efficient than the traditional one. In addition, we support the theoretical result by the numerical illustration.
出处
《内蒙古农业大学学报（自然科学版）》
CAS
北大核心
2013年第6期169-173,共5页
Journal of Inner Mongolia Agricultural University(Natural Science Edition)
基金
吉林省教育厅"十一五"科学技术研究项目(2010350)
关键词
双辅助变量
均方误差
回归估计
Two auxiliary variables
mean square error
regression estimation
