We present a new method of computing C. R. Rao's MINQUE in variance component models (y = X[beta] + U1[xi]1 + ... + Up[xi]p), which requires only inversion and storage of ni - ni matrices, where ni is the number of columns in Ui. In many cases most of these matrices are of diagonal form. In particular, the derivation of MINQUE equations for univariate nested classification models does not need any inversion of matrices.Variance components computation of MINQUE multivariate models
This thesis is concerned with the problem of variance components estimation and its applications in ...
Variance components estimation originated with estimating error variance in analysis of variance by ...
A systematic method for computing the coefficients of the variance components in the expected mean ...
AbstractWe present a new method of computing C. R. Rao's MINQUE in variance component models (y = Xβ...
In this thesis, we describe the method of MINQUE (C. R. Rao (1970)) and its various generalizations ...
The paper consists of two parts. The first part deals with solutions to some optimization problems. ...
The paper consists of two parts. The first part deals with solutions to some optimization problems. ...
We write a linear model in the form Y=Xβ+Uξ, where β is an unknown parameter and ξ is a hypothetical...
46 pages, 1 article*Detailed Derivations for Minque and Mivque Estimation of Variance Components fro...
AbstractEstimation of variance components in linear model theory is presented as an application of e...
Starting with the general linear model Y=Xβ+ε where E(εε')=θ1V1+ ... +θpVp, the theory of minimum no...
summary:The MINQUE of the linear function $\int'\vartheta$ of the unknown variance-components parame...
AbstractConditions are obtained for the multivariate components of variance model to admit a multiva...
AbstractThe purpose of this paper is to give a characterization of the nonnegative MINQUE estimate f...
AbstractThe paper consists of two parts. The first part deals with solutions to some optimization pr...
This thesis is concerned with the problem of variance components estimation and its applications in ...
Variance components estimation originated with estimating error variance in analysis of variance by ...
A systematic method for computing the coefficients of the variance components in the expected mean ...
AbstractWe present a new method of computing C. R. Rao's MINQUE in variance component models (y = Xβ...
In this thesis, we describe the method of MINQUE (C. R. Rao (1970)) and its various generalizations ...
The paper consists of two parts. The first part deals with solutions to some optimization problems. ...
The paper consists of two parts. The first part deals with solutions to some optimization problems. ...
We write a linear model in the form Y=Xβ+Uξ, where β is an unknown parameter and ξ is a hypothetical...
46 pages, 1 article*Detailed Derivations for Minque and Mivque Estimation of Variance Components fro...
AbstractEstimation of variance components in linear model theory is presented as an application of e...
Starting with the general linear model Y=Xβ+ε where E(εε')=θ1V1+ ... +θpVp, the theory of minimum no...
summary:The MINQUE of the linear function $\int'\vartheta$ of the unknown variance-components parame...
AbstractConditions are obtained for the multivariate components of variance model to admit a multiva...
AbstractThe purpose of this paper is to give a characterization of the nonnegative MINQUE estimate f...
AbstractThe paper consists of two parts. The first part deals with solutions to some optimization pr...
This thesis is concerned with the problem of variance components estimation and its applications in ...
Variance components estimation originated with estimating error variance in analysis of variance by ...
A systematic method for computing the coefficients of the variance components in the expected mean ...