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Robustness of Stein-type estimators under a non-scalar error covariance structure
Elsevier | 2008|Keywords: 62J05 -
Bayesian regression based on principal components for high-dimensional data
Elsevier | 2010|Keywords: 62J05 -
Affine invariant linear hypotheses for the multivariate general linear model with VARMA error terms
Project Euclid | 2003|Keywords: 62J05 -
Stochastic search for semiparametric linear regression models
Project Euclid | 2013|Keywords: 62J05 -
A modified ridge m-estimator for linear regression model with multicollinearity and outliers
Taylor & Francis Verlag | 2018|Keywords: 62J05 -
The fundamental theorem of least squares: its relevance to experimental design and Bayesian inference
Project Euclid | 2003|Keywords: 62J05 -
A review of methods for identifying QTLs in experimental crosses
Project Euclid | 1999|Keywords: 62J05 -
Study of partial least squares and ridge regression methods
Taylor & Francis Verlag | 2017|Keywords: 62J05 -
Shrinkage minimax estimation and positive-part rule for a mean matrix in an elliptically contoured distribution
Elsevier | 2009|Keywords: 62J05 -
VIF-based adaptive matrix perturbation method for heteroskedasticity-robust covariance estimators in the presence of multicollinearity
Taylor & Francis Verlag | 2017|Keywords: 62J05
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