Partially linear single-index model with missing responses at random

DOI10.1016/j.jspi.2010.09.012zbMath1200.62038OpenAlexW1987294996MaRDI QIDQ607232

Peng Lai, Qi Hua Wang

Publication date: 19 November 2010

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2010.09.012

zbMATH Keywords

tablessemiparametric modelsbandwidth selectionsingle-index modelimputation estimatorlocal linear smooth

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Linear regression; mixed models (62J05) Nonparametric estimation (62G05)

Related Items

Empirical likelihood for single-index models with responses missing at random ⋮ Estimation and variable selection for proportional response data with partially linear single-index models ⋮ Semiparametric estimation of fixed effects panel data single-index model ⋮ Estimation in a partially linear single-index model with missing response variables and error-prone covariates ⋮ Semiparametric efficient estimation for partially linear single-index models with responses missing at random ⋮ Statistical Inference on Partially Linear Additive Models with Missing Response Variables and Error-prone Covariates

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Profile likelihood inferences on semiparametric varying-coefficient partially linear models
• Data-driven bandwidth choice for density estimation based on dependent data
• Estimation in partially linear models and numerical comparisons
• Varying-coefficient single-index model
• Statistical inference of partially linear regression models with heteroscedastic errors
• Semi-parametric estimation of partially linear single-index models
• Uniform in bandwidth consistency of kernel-type function estimators
• Empirical Likelihood Confidence Regions in a Partially Linear Single-Index Model
• Estimating Optimal Transformations for Multiple Regression and Correlation
• Weak and strong uniform consistency of kernel regression estimates
• Generalized Partially Linear Single-Index Models
• On extended partially linear single-index models
• Semiparametric Regression Analysis With Missing Response at Random