Principal components regression estimator of the parameters in partially linear models
From MaRDI portal
Publication:5221519
DOI10.1080/00949655.2016.1151516OpenAlexW2332979241MaRDI QIDQ5221519
Shuang Guo, Chunling Liu, Chuanhua Wei
Publication date: 1 April 2020
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00949655.2016.1151516
multicollinearitypartially linear modelsprofile least-squares approachprincipal components regression
Related Items (2)
Robust partial residuals estimation in semiparametric partially linear model ⋮ New restricted Liu estimator in a partially linear model
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Feasible ridge estimator in partially linear models
- Efficiency of a Liu-type estimator in semiparametric regression models
- Estimation in partially linear models and numerical comparisons
- Convergence rates for parametric components in a partly linear model
- Series estimation of semilinear models
- Local linear estimation in partly linear models
- An elementary estimator of the partial linear model
- Ridge estimation of a semiparametric regression model
- Linear models and generalizations. Least squares and alternatives. With contributions by Michael Schomaker.
- New difference-based estimator of parameters in semiparametric regression models
- Restricted Ridge Estimators of the Parameters in Semiparametric Regression Model
- Liu-type estimator in semiparametric regression models
- Root-N-Consistent Semiparametric Regression
- A Monte Carlo Evaluation of Some Ridge-Type Estimators
- A new class of blased estimate in linear regression
- Ridge Regression: Applications to Nonorthogonal Problems
This page was built for publication: Principal components regression estimator of the parameters in partially linear models
