Difference-based M-estimator of generalized semiparametric model with NSD errors
Abstract In this paper, we consider the generalized semiparametric model (GSPM) yi=h(xiTβ)+f(ti)+ei,1≤i≤n, $$ y_{i}=h\bigl(\mathbf{x}_{i}^{T}\beta \bigr)+f(t_{i})+e_{i} , \quad 1\leq i\leq n, $$ where h(⋅) $h(\cdot )$ is a known function, ei $e_{i}$ are dependent errors. We obtain an estimator of th...
Main Authors: | Fangning Fu, Zhen Zeng, Xiangdong Liu |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2019-03-01
|
Series: | Journal of Inequalities and Applications |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s13660-019-2017-7 |
Similar Items
-
Wavelet Threshold Estimator of Semiparametric Regression Function with Correlated Errors
by: Mahmoud Afshari, et al.
Published: (2022-11-01) -
Doubly Robust Estimation and Semiparametric Efficiency in Generalized Partially Linear Models with Missing Outcomes
by: Lu Wang, et al.
Published: (2024-08-01) -
Systematic perturbations of SETD2, NSD1, NSD2, NSD3, and ASH1L reveal their distinct contributions to H3K36 methylation
by: Gerry A. Shipman, et al.
Published: (2024-10-01) -
M-test in linear models with negatively superadditive dependent errors
by: Yuncai Yu, et al.
Published: (2017-09-01) -
A More Accurate Estimation of Semiparametric Logistic Regression
by: Xia Zheng, et al.
Published: (2021-09-01)