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变系数模型误差方差的估计
引用本文:冯井艳,张志强,李华鹏.变系数模型误差方差的估计[J].雁北师范学院学报,2010(1).
作者姓名:冯井艳  张志强  李华鹏
作者单位:山西大同大学数学与计算机科学学院;
基金项目:国家自然科学基金项目[10871072]; 山西省自然科学基金项目[2007011014]
摘    要:变系数模型是由古典的线性模型发展而来,它们可以很好地检验函数系数随着协变量的变化程度.本文用PLR提出了变系数模型的误差方差的估计,并研究了它的渐近正态性,进一步用一个模拟例子来说明估计的结果是有效的.

关 键 词:变系数模型  误差方差  Profile最小二乘估计  渐近正态性  

Error Variance Estimation of Varying Coefficient Models
FENG Jing-yan,ZHANG Zhi-qiang,LI Hua-peng.Error Variance Estimation of Varying Coefficient Models[J].Journal of Yanbei Teachers College,2010(1).
Authors:FENG Jing-yan  ZHANG Zhi-qiang  LI Hua-peng
Institution:FENG Jing-yan,ZHANG Zhi-qiang,LI Hua-peng(School of Mathematics , Computer Science,Shanxi Datong University,Datong Shanxi,037009)
Abstract:Varying coefficient models are a useful extension of classical linear models.These models can easily examine how regression coefficient change over different groups characterized by certain covariates.In this article,the estimator of error variance by profile least-squares procedure is proposed and its asymptotic normality is studied.Furthermore,some simulations are conducted to examine the performance of our estimating approach and the results are substantial.
Keywords:varying coefficient models  error variance  profile least-squares estimation  asymptotic normality  
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