摘要
研究了部分线性变系数模型中参数分量的有偏估计问题.基于Profile最小二乘方法和Liu估计法构造了参数分量的Profile-Liu估计和剖面最小二乘广义Liu估计,并在一定的条件下,证明了Profile-Liu估计优于Profile最小二乘估计,剖面最小二乘广义Liu估计优于Profile-Liu估计.
This paper considers the biased estimators on the parameter components in partially linear varying coefficient model.Based on the Profile least-square approach and Liu estimation method, we propose Profile-Liu estimator and section least-square general Liu estimator for the parametric components.We prove that the Profile-Liu estimation is better than the Profile least-square estimation, and the section least-square general Liu estimation is better than the Profile-Liu estimation under certain conditions.
作者
安佰玲
卢琦
马宁
AN Bailing;LU Qi;MA Ning(School of Mathematics,Huaibei Normal University,Huaibei 235000,Anhui China)
出处
《吉首大学学报(自然科学版)》
CAS
2022年第4期1-6,共6页
Journal of Jishou University(Natural Sciences Edition)
基金
安徽省高等学校自然科学研究项目(KJ2020A1200,KJ2019A0956)
淮北师范大学质量工程项目(2021XJXYJ023)。