摘要
对于部分线性变系数模型附有约束条件时的估计与检验问题,基于Profile最小二乘方法给出了参数部分以及非参数部分的约束估计并研究了它们的渐近性质,并针对约束条件构造了Profile Lagrange乘子检验统计量,证明了该统计量在原假设下的渐近分布为X^2分布,从而将Langrange乘子检验方法推广到了半参数模型上.
The estimation and testing of partially linear varying-coefficient models under additional linear restriction on parametric component are considered. The constrained estimator for parametric and nonparametric components is established based on Profile least-squares approach, and its asymptotic property is given. For the testing problem, a Profile Lagrange multiplier test statistic is established on the basis of the constrained Profile least-squares estimation. It is proven that the Profile Lagrange multiplier test statistic is asymptotically distribution-free and following X^2 distribution under the null hypothesis. Finally, the Lagrange multiplier test is successfully applied to semi-parametric models.
出处
《系统科学与数学》
CSCD
北大核心
2008年第4期416-424,共9页
Journal of Systems Science and Mathematical Sciences
基金
国家自然科学基金重点资助项目(10431010)
教育部人文社会科学重点研究基地重大项目(05JJD910001)
中国人民大学应用统计科学研究中心资助.