Efficient Estimation and Robust Inference of Linear Regression Models in the Presence of Heteroscedastic Errors and High Leverage Points
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Publication:5299959
DOI10.1080/03610918.2012.695847zbMath1302.62153OpenAlexW2034759201MaRDI QIDQ5299959
Saima Altaf, Tahira Riaz, Muhammad Aslam
Publication date: 24 June 2013
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610918.2012.695847
adaptive estimatorsize distortionnull rejection rateestimated weighted least squaresadaptive heteroscedasticity-consistent interval estimatorheteroscedasticity consistent interval estimator
Related Items (7)
Bootstrap Liu estimators for Poisson regression model ⋮ An effective approach towards efficient estimation of general linear model in case of heteroscedastic errors ⋮ An adaptive weighted least squares ratio approach for estimation of heteroscedastic linear regression model in the presence of outliers ⋮ An alternative method correcting BDR type of heteroskedasticity by the weighting re-estimated absolute residuals ⋮ Stabilizing heteroscedasticity for butterfly-distributed residuals by the weighting absolute centered external variable ⋮ Improved inference for the panel data model with unknown unit-specific heteroscedasticity: A Monte Carlo evidence ⋮ Efficient estimation of distributed lag model in presence of heteroscedasticity of unknown form: A Monte Carlo evidence
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