摘要
单指标模型由于具有高度的数据建模灵活性而在实际研究中应用广泛.基于B样条逼近技术和广义差分法,研究误差带有AR(q)的序列相关性的单指标模型最小二乘估计问题,并提出一套有效算法.通过大量数值模拟说明方法的有效性.
The single index models are widely used in many applications because of its flexible data modeling.In this paper,based on the Bspline approximation and generalized difference method,the least squares estimation was considered for the single index model with serial correlated random error.Through many simulation studies,it is illustrated that our proposed approach performs very well.
出处
《江苏师范大学学报(自然科学版)》
CAS
2017年第1期68-72,共5页
Journal of Jiangsu Normal University:Natural Science Edition
基金
国家自然科学基金资助项目(11571148
11201190)
江苏省"青蓝工程"中青年学术带头人支持项目
江苏省普通高校研究生科研创新计划项目(KYLX-1432)
关键词
单指标模型
序列相关性
B样条
最小二乘估计
single index model
serial correlation
Bspline
least squares estimate