9 pages, 1 article*Alternative Derivations of Best Linear Unbiased Prediction (BLUP) in the Mixed Model* (Searle, Shayle R.; Casella, George) 9 page
Best linear unbiased prediction (BLUP) is a method for obtaining point estimates of a random effect ...
Best linear unbiased prediction (BLUP) is a method for obtaining point estimates of a random effect ...
The minimum mean squared error (MMSE) criterion is a popular criterion for devising best predictors....
15 pages, 1 article*Best Linear Unbiased Estimation in Mixed Models of the Analysis of Variance* (Se...
This issue was undated. The date given is an estimate.6 pages, 1 article*Built-In Restrictions on Be...
<p>Descriptive statistics of best linear unbiased predictors (BLUPs) for three traits in two plantin...
In the usual mixed model of analysis of variance we show that certain sums of best linear unbiased p...
18 pages, 1 article*The Matrix Handling of BLUE and BLUP in the Mixed Linear Model* (Searle, Shayle ...
Linear regression models are foundation of current statistical theory and have been a prominent obje...
13 pages, 1 article*"BLUP" Estimation in Hierarchical Models* (McCulloch, Charles E.; Feng, Ziding) ...
We propose the Liu estimator and the Liu predictor via the penalized log-likelihood approach in line...
This paper studies the prediction based on a composite target function that allows to simultaneously...
The best linear unbiased predictors (the Cluster mean, the Mixed model, Scott & Smith’s predicto...
summary:In this paper, we consider a comparison problem of predictors in the context of linear mixed...
summary:In this paper, we consider a comparison problem of predictors in the context of linear mixed...
Best linear unbiased prediction (BLUP) is a method for obtaining point estimates of a random effect ...
Best linear unbiased prediction (BLUP) is a method for obtaining point estimates of a random effect ...
The minimum mean squared error (MMSE) criterion is a popular criterion for devising best predictors....
15 pages, 1 article*Best Linear Unbiased Estimation in Mixed Models of the Analysis of Variance* (Se...
This issue was undated. The date given is an estimate.6 pages, 1 article*Built-In Restrictions on Be...
<p>Descriptive statistics of best linear unbiased predictors (BLUPs) for three traits in two plantin...
In the usual mixed model of analysis of variance we show that certain sums of best linear unbiased p...
18 pages, 1 article*The Matrix Handling of BLUE and BLUP in the Mixed Linear Model* (Searle, Shayle ...
Linear regression models are foundation of current statistical theory and have been a prominent obje...
13 pages, 1 article*"BLUP" Estimation in Hierarchical Models* (McCulloch, Charles E.; Feng, Ziding) ...
We propose the Liu estimator and the Liu predictor via the penalized log-likelihood approach in line...
This paper studies the prediction based on a composite target function that allows to simultaneously...
The best linear unbiased predictors (the Cluster mean, the Mixed model, Scott & Smith’s predicto...
summary:In this paper, we consider a comparison problem of predictors in the context of linear mixed...
summary:In this paper, we consider a comparison problem of predictors in the context of linear mixed...
Best linear unbiased prediction (BLUP) is a method for obtaining point estimates of a random effect ...
Best linear unbiased prediction (BLUP) is a method for obtaining point estimates of a random effect ...
The minimum mean squared error (MMSE) criterion is a popular criterion for devising best predictors....