| �������������ݰ����ģ�͵Ĺ��� |
| |
| 引用本文： | ������. �������������ݰ����ģ�͵Ĺ���[J]. 应用概率统计, 2017, 33(4): 433-440. DOI: 10.3969/j.issn.1001-4268.2017.04.008 |
| |
| 作者姓名： | ������ |
| |
| 作者单位： | ????????????? |
| |
| 摘 要： |
|
| 关 键 词： | ?????????? ???????? ????????Ч???? |
Estimation on Monotone Partial Functional Linear Regression |
| |
| DING JianHua. Estimation on Monotone Partial Functional Linear Regression[J]. Chinese Journal of Applied Probability and Statisties, 2017, 33(4): 433-440. DOI: 10.3969/j.issn.1001-4268.2017.04.008 |
| |
| Authors: | DING JianHua |
| |
| Affiliation: | Department of Statistics, Shanxi Datong University |
| |
| Abstract: | We propose a new estimation method for the parametersof a partial functional linear model when the parameter curve is subjectto monotone constraint. The proposed estimators are implemented under thenonlinear mixed effects model framework. The small sample properties areillustrated through a simulation experiment. |
| |
| Keywords: | functional data monotone estimator nonlinear mixed effects model |
|
| 点击此处可从《应用概率统计》浏览原始摘要信息 |
|
点击此处可从《应用概率统计》下载全文 |
