Semiparametric Analysis of Isotonic Errors-in-Variables Regression Models with Missing Response
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Publication:2920019
DOI10.1080/03610926.2011.555046zbMath1270.62073OpenAlexW2152340506MaRDI QIDQ2920019
Zhimeng Sun, Zhong-Zhan Zhang, Jiang Du
Publication date: 23 October 2012
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2011.555046
Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20)
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Cites Work
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- A simple nonparametric estimator of a strictly monotone regression function
- Estimation in partially linear models with missing responses at random
- Semiparametric additive isotonic regression
- Empirical likelihood for linear models with missing responses
- The asymptotic behavior of monotone regression estimates
- On parameter estimation for semi-linear errors-in-variables models
- A general projection framework for constrained smoothing.
- Estimation in a semiparametric partially linear errors-in-variables model
- Nonparametric kernel regression subject to monotonicity constraints
- A note on estimating a partly linear model under monotonicity constraints
- On the Estimation of Parameters Restricted by Inequalities
- Empirical Likelihood Confidence Region for Parameters in Semi-linear Errors-in-Variables Models
- Partially linear models with missing response variables and error-prone covariates
- Varying-coefficient models and basis function approximations for the analysis of repeated measurements
- Efficient semiparametric estimator for heteroscedastic partially linear models
- Semiparametric Regression Analysis With Missing Response at Random
- New Estimation and Model Selection Procedures for Semiparametric Modeling in Longitudinal Data Analysis