In statistics, best linear unbiased prediction (BLUP) is used in linear mixed models for the estimation of random effects. BLUP was derived by Charles...

the lowest sampling variance within the class of linear unbiased estimators, if the errors in the linear regression model are uncorrelated, have equal variances...

Under suitable assumptions of the prior, kriging gives the best linear unbiased prediction (BLUP) at unsampled locations. Interpolating methods based...

branch of animal science that addresses the evaluation (using best linear unbiased prediction and other methods) of the genetic value (estimated breeding...

Least-squares adjustment Bayesian MMSE estimator Best linear unbiased estimator (BLUE) Best linear unbiased prediction (BLUP) Gauss–Markov theorem L2 norm Least...

Charles Roy Henderson provided best linear unbiased estimates of fixed effects and best linear unbiased predictions of random effects. Subsequently,...

The general linear model or general multivariate regression model is a compact way of simultaneously writing several multiple linear regression models...

Bayes estimator Bayesian network Hyperparameter Hyperprior Best linear unbiased prediction Robbins lemma Spike-and-slab variable selection Carlin, Bradley...

sign function) replaced by ρ {\displaystyle \rho } , is the best linear unbiased prediction of Y {\displaystyle Y} given a value of X {\displaystyle X}...

increased muscling associated with the mutation. Furthermore, best linear unbiased prediction (BLUP) techniques used to estimate the genetic merit of stud...

statistics a minimum-variance unbiased estimator (MVUE) or uniformly minimum-variance unbiased estimator (UMVUE) is an unbiased estimator that has lower variance...

estimate variance components, and predict breeding values via best linear unbiased prediction (BLUP). Coded in Fortran, it can perform genomic selection...

location. Many (geo)statisticians believe that there is only one Best Linear Unbiased Prediction model for spatial data (e.g. regression-kriging), all other...

spatial interpolation include Kriging, which is a type of best linear unbiased prediction. The topic of spatial dependence is of importance to geostatistics...

generate predictions for the dependent variable. An unbiased performance estimate of a model can be obtained on hold-out test sets. The predictions can visually...

be expressed. He developed mixed model equations to obtain best linear unbiased predictions of breeding values and, in general, any random effect. He invented...

Bertrand's box paradox Bessel process Bessel's correction Best linear unbiased prediction Beta (finance) Beta-binomial distribution Beta-binomial model...

OLS estimators are not the Best Linear Unbiased Estimators (BLUE) and their variance is not the lowest of all other unbiased estimators. Heteroscedasticity...

unbiased estimator or MVUE (Minimum-Variance Unbiased Estimator). Both analysis of variance and linear regression techniques estimate the MSE as part...

the data points to the most optimized linear functions that can be used for prediction on new datasets. Linear regression was the first type of regression...

branch of animal science that addresses the evaluation (using best linear unbiased prediction and other methods) of the genetic value (estimated breeding...

Encyclopedia of Statistics. Springer: Dodge, Y. 2008. Best Linear Unbiased Estimation and Prediction. New York: John Wiley & Sons: Theil Henri. 1971. Experimental...

{\beta }}} is efficient in the class of linear unbiased estimators. This is called the best linear unbiased estimator (BLUE). Efficiency should be understood...

In statistics, simple linear regression (SLR) is a linear regression model with a single explanatory variable. That is, it concerns two-dimensional sample...

Under suitable assumptions on the priors, Kriging gives the best linear unbiased prediction of the intermediate values. Interpolating methods based on...

1109/42.61759. PMID 18222791. Zhang, Tong (2004). Solving large scale linear prediction problems using stochastic gradient descent algorithms. ICML. Friedman...

Retrieved 2 May 2018. Miller CC (25 February 2016). "Is Blind Hiring the Best Hiring?". The New York Times. Retrieved 26 April 2019. "Violinists can't...

statistics it usually refers to the degree to which a pair of variables are linearly related. Familiar examples of dependent phenomena include the correlation...

in the context of statistical models whose main purpose is either the prediction of future outcomes or the testing of hypotheses, on the basis of other...

plant breeding. In the early 1980s, Gianola extended best linear unbiased prediction to the non-linear domain for analysis of categorical traits (fertility...