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Stepwise Regression in Mixed Quantitative Linear Models with Autocorrelated Errors
Communications in Statistics - Simulation and Computation, 2006ABSTRACT In the stepwise procedure of selection of a fixed or a random explanatory variable in a mixed quantitative linear model with errors following a Gaussian stationary autocorrelated process, we have studied the efficiency of five estimators relative to Generalized Least Squares (GLS): Ordinary Least Squares (OLS), Maximum Likelihood (ML ...
Gülhan Alpargu, Pierre Dutilleul
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Several nonparametric and semiparametric approaches to linear mixed model regression
Journal of Statistical Computation and Simulation, 2013Mixed models are powerful tools for the analysis of clustered data and many extensions of the classical linear mixed model with normally distributed response have been established. As with all parametric (P) models, correctness of the assumed model is critical for the validity of the ensuing inference.
Megan J. Waterman +2 more
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Principal components regression and r-k class predictions in linear mixed models
Linear Algebra and its Applications, 2018zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Özkale M.R., Kuran Ö.
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A new stochastic mixed Liu estimator in linear regression model
Communications in Statistics - Theory and Methods, 2018To overcome multicollinearity, a new stochastic mixed Liu estimator is presented and its efficiency is considered.
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Modified stochastic weighted mixed estimator for linear regression model
AIP Conference Proceedings, 2023Mahmoud H. Eiada AL_Hayani +1 more
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Mixed models, linear dependency, and identification in age‐period‐cohort models
Statistics in Medicine, 2017Robert M. O’Brien
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