AbstractThe mixed model of analysis of variance is a linear model in which some terms that would otherwise be unknown constants are, in fact, unobservable realizations of random variables. Estimation procedures for the constants and for the realized random variables are reviewed, with emphasis on their matrix features
É muito comum encontrar nas áreas agronômica e biológica experimentos cujas observações são correlac...
summary:Necessary and sufficient conditions are given under which the best linear unbiased estimator...
É muito comum encontrar nas áreas agronômica e biológica experimentos cujas observações são correlac...
AbstractThe mixed model of analysis of variance is a linear model in which some terms that would oth...
Three contributions to estimation and prediction in mixed models of the analysis of variance are des...
summary:The paper deals with the estimation of unknown vector parameter of mean and scalar parameter...
summary:An estimation of the linear function of elements of unknown matrices in the covariance compo...
summary:An estimation of the linear function of elements of unknown matrices in the covariance compo...
Linear mixed models are useful in biology, genetics, medical research, agriculture, industry, and ma...
summary:In the paper four types of estimations of the linear function of the variance components are...
summary:In the paper four types of estimations of the linear function of the variance components are...
summary:In the paper four types of estimations of the linear function of the variance components are...
This work was partially supported by national funds of FCT - Foundation for Science and Technology u...
Non-linear relationships are accommodated in a regression model using smoothing functions. Interact...
We present a novel method for the estimation of variance parameters in generalised linear mixed mode...
É muito comum encontrar nas áreas agronômica e biológica experimentos cujas observações são correlac...
summary:Necessary and sufficient conditions are given under which the best linear unbiased estimator...
É muito comum encontrar nas áreas agronômica e biológica experimentos cujas observações são correlac...
AbstractThe mixed model of analysis of variance is a linear model in which some terms that would oth...
Three contributions to estimation and prediction in mixed models of the analysis of variance are des...
summary:The paper deals with the estimation of unknown vector parameter of mean and scalar parameter...
summary:An estimation of the linear function of elements of unknown matrices in the covariance compo...
summary:An estimation of the linear function of elements of unknown matrices in the covariance compo...
Linear mixed models are useful in biology, genetics, medical research, agriculture, industry, and ma...
summary:In the paper four types of estimations of the linear function of the variance components are...
summary:In the paper four types of estimations of the linear function of the variance components are...
summary:In the paper four types of estimations of the linear function of the variance components are...
This work was partially supported by national funds of FCT - Foundation for Science and Technology u...
Non-linear relationships are accommodated in a regression model using smoothing functions. Interact...
We present a novel method for the estimation of variance parameters in generalised linear mixed mode...
É muito comum encontrar nas áreas agronômica e biológica experimentos cujas observações são correlac...
summary:Necessary and sufficient conditions are given under which the best linear unbiased estimator...
É muito comum encontrar nas áreas agronômica e biológica experimentos cujas observações são correlac...