The ridge prediction error sum of squares statistic in linear mixed models

Cites Work

Title not available (Why is that?)
Title not available (Why is that?)
Title not available (Why is that?)
Title not available (Why is that?)
Gilmour's approach to mixed and stochastic restricted ridge predictions in linear mixed models
Optimal generalized ridge estimator under the generalized cross-validation criterion in linear regression
A note on the computation of the generalized cross-validation function for ill-conditioned least squares problems
Fixed-effect variable selection in linear mixed models using \(R^2\) statistics
That BLUP is a good thing: The estimation of random effects. With comments and a rejoinder by the author
PRESS model selection in repeated measures data.
Principal components regression and \(r-k\) class predictions in linear mixed models
Predictive performance of linear regression models
Generalized, linear, and mixed models
Counting degrees of freedom in hierarchical and other richly-parameterised models
Model Selection for Linear Mixed Models Using Predictive Criteria
Generalized Cross-Validation as a Method for Choosing a Good Ridge Parameter
Case-Deletion Diagnostics for Mixed Models
A Monte Carlo Evaluation of Some Ridge-Type Estimators
Maximum Likelihood Approaches to Variance Component Estimation and to Related Problems
Mixed-Effects Models in S and S-PLUS
The Relationship between Variable Selection and Data Agumentation and a Method for Prediction
Marginal ridge conceptual predictive model selection criterion in linear mixed models
Model selection via conditional conceptual predictive statistic under ridge regression in linear mixed models
Conditional conceptual predictive statistic for mixed model selection
An evaluation of ridge estimator in linear mixed models: an example from kidney failure data
Cross validation of ridge regression estimator in autocorrelated linear regression models
General ridge predictors in a mixed linear model
The Estimation of Environmental and Genetic Trends from Records Subject to Culling
A generalized multivariate analysis of variance model useful especially for growth curve problems
Ridge Regression: Biased Estimation for Nonorthogonal Problems
Some Comments on C P
Computing Maximum Likelihood Estimates for the Mixed A. O. V. Model Using the W Transformation

This page was built for publication: The ridge prediction error sum of squares statistic in linear mixed models

Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6618817)