DING JianHua. Estimation on Monotone Partial Functional Linear Regression[J]. Chinese Journal of Applied Probability and Statistics, 2017, 33(4): 433-440. DOI: 10.3969/j.issn.1001-4268.2017.04.008
Citation:
DING JianHua. Estimation on Monotone Partial Functional Linear Regression[J]. Chinese Journal of Applied Probability and Statistics, 2017, 33(4): 433-440. DOI: 10.3969/j.issn.1001-4268.2017.04.008
DING JianHua. Estimation on Monotone Partial Functional Linear Regression[J]. Chinese Journal of Applied Probability and Statistics, 2017, 33(4): 433-440. DOI: 10.3969/j.issn.1001-4268.2017.04.008
Citation:
DING JianHua. Estimation on Monotone Partial Functional Linear Regression[J]. Chinese Journal of Applied Probability and Statistics, 2017, 33(4): 433-440. DOI: 10.3969/j.issn.1001-4268.2017.04.008
Estimation on Monotone Partial Functional Linear Regression
We propose a new estimation method for the parameters of a partial functional linear model when the parameter curve is subject to monotone constraint. The proposed estimators are implemented under the nonlinear mixed effects model framework. The small sample properties are illustrated through a simulation experiment.
DownLoad: