Jackknife empirical likelihood for the error variance in linear errors-in-variables models with missing data
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Publication:5092706
DOI10.1080/03610926.2020.1824274OpenAlexW3090911010MaRDI QIDQ5092706
Guo-Liang Fan, Hong-Xia Xu, Jiang-Feng Wang
Publication date: 22 July 2022
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2020.1824274
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- Penalized empirical likelihood for high-dimensional partially linear varying coefficient model with measurement errors
- Statistical inference for fixed-effects partially linear regression models with errors in variables
- Empirical likelihood for partially linear additive errors-in-variables models
- Hypothesis test on response mean with inequality constraints under data missing when covariables are present
- Jackknife empirical likelihood of error variance in partially linear varying-coefficient errors-in-variables models
- Replicated measurement error model under exact linear restrictions
- Empirical likelihood ratio confidence regions
- Corrected empirical likelihood for a class of generalized linear measurement error models
- Smoothed jackknife empirical likelihood method for ROC curve
- Estimation in a semiparametric partially linear errors-in-variables model
- Jackknife empirical likelihood test for high-dimensional regression coefficients
- Jackknife empirical likelihood inference for the mean absolute deviation
- Jackknife empirical likelihood method for case-control studies with gene-environment independence on controls
- An unbalanced jackknife
- Smoothed jackknife empirical likelihood inference for the difference of ROC curves
- Empirical likelihood inference for partially time-varying coefficient errors-in-variables models
- Jackknife empirical likelihood inference with regression imputation and survey data
- An efficient empirical likelihood approach for estimating equations with missing data
- Approximate jackknife empirical likelihood method for estimating equations
- Semiparametric dimension reduction estimation for mean response with missing data
- Empirical likelihood ratio confidence intervals for a single functional
- Empirical Likelihood-based Inference in Linear Models with Missing Data
- Consistent Functional Methods for Logistic Regression With Errors in Covariates
- Cox Regression with Accurate Covariates Unascertainable: A Nonparametric-Correction Approach
- Estimation of Linear and Nonlinear Errors-in-Variables Models Using Validation Data
- Jackknife Empirical Likelihood
- Jackknife empirical likelihood for the error variance in linear models
- Errors in Variables
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