Empirical likelihood based diagnostics for heteroscedasticity in semiparametric varying-coefficient partially linear errors-in-variables models
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Publication:5076963
DOI10.1080/03610926.2017.1395050OpenAlexW2766145085MaRDI QIDQ5076963
Chun-Yan Li, Feng Liu, Xinmei Kang, Peng-fei Wang
Publication date: 17 May 2022
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2017.1395050
heteroscedasticityerrors-in-variablesempirical likelihood ratiosemiparametric varying-coefficient partial linear models
Cites Work
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- Errors-in-variables system identification using structural equation modeling
- Heteroscedasticity diagnostics for \(t\) linear regression models
- Empirical likelihood ratio confidence regions
- Profile likelihood inferences on semiparametric varying-coefficient partially linear models
- Empirical likelihood based diagnostics for heteroscedasticity in partial linear models
- Variable selection for semiparametric varying coefficient partially linear errors-in-variables models
- Empirical likelihood based diagnostics for heteroscedasticity in partially linear errors-in-variab\-les models
- Empirical likelihood for semiparametric varying-coefficient partially linear errors-in-variables models
- Empirical likelihood for linear models
- Algorithms for approximate linear regression design with application to a first order model with heteroscedasticity
- Empirical likelihood for semivarying coefficient model with measurement error in the nonparametric part
- Empirical likelihood for heteroscedastic partially linear errors-in-variables model with \(\alpha\)-mixing errors
- Estimation and model selection in generalized additive partial linear models for correlated data with diverging number of covariates
- Estimation of a semiparametric varying-coefficient partially linear errors-in-variables model
- Wild bootstrap estimation in partially linear models with heteroscedasticity
- Empirical likelihood for semiparametric varying-coefficient partially linear regression models
- Testing heteroscedasticity in partially linear regression models
- Empirical likelihood ratio confidence intervals for a single functional
- Asymptotic theory for partly linear models
- Heteroscedasticity diagnostics in varying-coefficient partially linear regression models and applications in analyzing Boston housing data
- Varying Coefficient Regression Models: A Review and New Developments
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