An Extended Single‐index Model with Missing Response at Random

DOI10.1111/sjos.12233zbMath1373.62163OpenAlexW2215509471MaRDI QIDQ2835314

Qi Hua Wang, Tao Zhang, Wolfgang Karl Härdle

Publication date: 2 December 2016

Published in: Scandinavian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: http://sfb649.wiwi.hu-berlin.de/papers/pdf/SFB649DP2014-003.pdf

zbMATH Keywords

asymptotic normalitymissing dataestimating equationssingle-index models

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Estimation in multivariate analysis (62H12) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05)

Related Items

Estimation and testing for panel data partially linear single-index models with errors correlated in space and time, Analysis of panel data partially linear single-index models with serially correlated errors, Robust estimation of single index models with responses missing at random

Cites Work

• The EFM approach for single-index models
• On projection pursuit regression
• Estimation of single index model with missing response at random
• On an asymptotically more efficient estimation of the single-index model
• Semiparametric least squares (SLS) and weighted SLS estimation of single-index models
• Asymptotics for kernel estimate of sliced inverse regression
• Direct estimation of the index coefficient in a single-index model
• Empirical likelihood-based inference under imputation for missing response data
• Optimal smoothing in single-index models
• Semiparametric estimation of treatment effect in a pretest-posttest study with missing data (with comments and rejoinder)
• Empirical likelihood for single-index models
• Statistical Inference for Single-index Panel Data Models
• Fusion-Refinement Procedure for Dimension Reduction With Missing Response at Random
• Semiparametric dimension reduction estimation for mean response with missing data
• The central role of the propensity score in observational studies for causal effects
• Sliced Inverse Regression for Dimension Reduction
• Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
• Analysis of Semiparametric Regression Models for Repeated Outcomes in the Presence of Missing Data
• Semiparametric Regression Analysis With Missing Response at Random