JOURNAL ARTICLE

Empirical likelihood inference for generalized additive partially linear models

Rong LiuYichuan Zhao

Year: 2020 Journal:   Test Vol: 30 (3)Pages: 569-585   Publisher: Springer Science+Business Media
Keywords:
Pointwise Empirical likelihood Nonparametric statistics Inference Estimator Mathematics Statistical inference Wald test Kernel (algebra) Confidence interval Applied mathematics Econometrics Statistics Computer science Statistical hypothesis testing Artificial intelligence

Metrics

4
Cited By
0.49
FWCI (Field Weighted Citation Impact)
29
Refs
0.66
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Statistical Methods and Inference
Physical Sciences →  Mathematics →  Statistics and Probability
Statistical Methods and Bayesian Inference
Physical Sciences →  Mathematics →  Statistics and Probability
Bayesian Modeling and Causal Inference
Physical Sciences →  Computer Science →  Artificial Intelligence

Related Documents

JOURNAL ARTICLE

Empirical likelihood based inference for generalized additive partial linear models

Zhuoxi YuKai YangMilan Parmar

Journal:   Applied Mathematics and Computation Year: 2018 Vol: 339 Pages: 105-112
JOURNAL ARTICLE

Empirical Likelihood Inference for Generalized Partially Linear Models with Longitudinal Data

Jinghua ZhangLiugen Xue

Journal:   Open Journal of Statistics Year: 2020 Vol: 10 (02)Pages: 188-202
JOURNAL ARTICLE

Empirical Likelihood Inference for the Parameter in Additive Partially Linear EV Models

Xiuli WangFang ChenLu Lin

Journal:   Communication in Statistics- Theory and Methods Year: 2010 Vol: 39 (19)Pages: 3513-3524
JOURNAL ARTICLE

Empirical-Likelihood-Based Inference for Partially Linear Models

Haiyan SuLinlin Chen

Journal:   Mathematics Year: 2024 Vol: 12 (1)Pages: 162-162
JOURNAL ARTICLE

Statistical inference for generalized additive partially linear models

Rong LiuWolfgang Karl HärdleGuoyi Zhang

Journal:   Journal of Multivariate Analysis Year: 2017 Vol: 162 Pages: 1-15
© 2026 ScienceGate Book Chapters — All rights reserved.