Inverse probability weighted estimators for single-index models with missing covariates

DOI10.1080/03610926.2012.705208zbMath1381.62237OpenAlexW2302190325MaRDI QIDQ2807760

Hu Yang, Ting-Ting Li

Publication date: 25 May 2016

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2012.705208

zbMATH Keywords

single-index modelsHorvitz-Thompson propertymissing covariates at random

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Nonparametric estimation (62G05) Generalized linear models (logistic models) (62J12) Sampling theory, sample surveys (62D05)

Related Items (4)

Estimation in zero-inflated binomial regression with missing covariates ⋮ A new Bayesian single index model with or without covariates missing at random ⋮ Weighted composite quantile regression for single index model with missing covariates at random ⋮ Two stage smoothing in additive models with missing covariates

Cites Work

• Estimation and testing for partially linear single-index models
• Penalized least squares for single index models
• Estimation of single index model with missing response at random
• Simultaneous confidence band and hypothesis test in generalised varying-coefficient models
• On an asymptotically more efficient estimation of the single-index model
• Semiparametric least squares (SLS) and weighted SLS estimation of single-index models
• Direct estimation of the index coefficient in a single-index model
• Statistical inference for the index parameter in single-index models
• Optimal smoothing in single-index models
• On locally weighted estimation and hypothesis testing of varying-coefficient models with missing covariates
• Generalized partially linear models with missing covariates
• Empirical Likelihood Confidence Regions in a Partially Linear Single-Index Model
• Inference and missing data
• An Adaptive Estimation of Dimension Reduction Space
• Estimation in Partially Linear Models With Missing Covariates
• Weighted Estimators for Proportional Hazards Regression With Missing Covariates

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