AbstractA useful statistical relation between normal linear experiments N(Aβ,σV) and N(Bβ,σW) is reduced in [Stȩpniak, Statistics 30 (1998) 279–289] to the matrix conditions A′(V+AA′)−A−B′(W+BB′)−B⩾0 and r(V+AA′)−r(A)⩾r(W+BB′)−r(B). The aim of this note is to present a characterization of these conditions in terms of linear transformations. This characterization may be useful for matrix theory and practice
AbstractPuntanen et al. [J. Statist. Plann. Inference 88 (2000) 173] provided two matrix-based proof...
summary:There exist many different ways of determining the best linear unbiased estimation of regres...
AbstractThe usual ordering of linear experiments was induced by estimation of some scalar parameters...
AbstractA useful statistical relation between normal linear experiments N(Aβ,σV) and N(Bβ,σW) is red...
AbstractMatrix equations with various conditions suited for statistical purposes in linear experimen...
AbstractAn approximate degrees of freedom test is suggested for hypotheses of the kindH0:C′Φ1M=C′Φ2M...
AbstractSome necessary and sufficient conditions are given for two equalities of ordinary least-squa...
AbstractA useful matrix identity is verified. The identity is, among other things, applicable to the...
AbstractWe deduce a necessary and sufficient condition for the matrix equations AXA∗=BB∗ and CXC∗=DD...
AbstractIn the linear model {y,Xβ,V} the inefficiency of the ordinary least squares estimator of Xβ ...
AbstractGiven matrices A1, A2, B1, B2, and symmetric D a necessary and sufficient condition is estab...
AbstractMatrix algebra is extensively used in the study of linear models and multivariate analysis (...
A linear statistic Fy is called linearly sufficient for the estimable parametric function of X*β und...
Books on linear models and multivariate analysis generally include a chapter on matrix algebra, quit...
AbstractFor the unknown positive parameter σ2 in a general linear model ℳ={y,Xβ,σ2Σ}, the two common...
AbstractPuntanen et al. [J. Statist. Plann. Inference 88 (2000) 173] provided two matrix-based proof...
summary:There exist many different ways of determining the best linear unbiased estimation of regres...
AbstractThe usual ordering of linear experiments was induced by estimation of some scalar parameters...
AbstractA useful statistical relation between normal linear experiments N(Aβ,σV) and N(Bβ,σW) is red...
AbstractMatrix equations with various conditions suited for statistical purposes in linear experimen...
AbstractAn approximate degrees of freedom test is suggested for hypotheses of the kindH0:C′Φ1M=C′Φ2M...
AbstractSome necessary and sufficient conditions are given for two equalities of ordinary least-squa...
AbstractA useful matrix identity is verified. The identity is, among other things, applicable to the...
AbstractWe deduce a necessary and sufficient condition for the matrix equations AXA∗=BB∗ and CXC∗=DD...
AbstractIn the linear model {y,Xβ,V} the inefficiency of the ordinary least squares estimator of Xβ ...
AbstractGiven matrices A1, A2, B1, B2, and symmetric D a necessary and sufficient condition is estab...
AbstractMatrix algebra is extensively used in the study of linear models and multivariate analysis (...
A linear statistic Fy is called linearly sufficient for the estimable parametric function of X*β und...
Books on linear models and multivariate analysis generally include a chapter on matrix algebra, quit...
AbstractFor the unknown positive parameter σ2 in a general linear model ℳ={y,Xβ,σ2Σ}, the two common...
AbstractPuntanen et al. [J. Statist. Plann. Inference 88 (2000) 173] provided two matrix-based proof...
summary:There exist many different ways of determining the best linear unbiased estimation of regres...
AbstractThe usual ordering of linear experiments was induced by estimation of some scalar parameters...