AbstractA useful matrix identity is verified. The identity is, among other things, applicable to the problem of testing linear hypotheses in linear models, leading to an approach which is equivalent to the one presented by Peixoto, although more straightforward. A simplified proof of a related formula given by Khatri is presented
In this note, we first present three different types of generalized inverse matrices (conditional, l...
This paper contains a large number of matrix identities which cannot be absorbed by mere reading. Th...
. A general linear model can be written as Y = XB 0 + U , where Y is an N \Theta p matrix of obser...
AbstractA useful matrix identity is verified. The identity is, among other things, applicable to the...
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...
by Tsz-Kit Keung.Thesis (M.Phil.)--Chinese University of Hong Kong, 1996.Includes bibliographical re...
AbstractThis note discusses an identity which is useful in the construction of reduced generalized l...
Books on linear models and multivariate analysis generally include a chapter on matrix algebra, quit...
AbstractMatrix algebra is extensively used in the study of linear models and multivariate analysis (...
AbstractThis note gives some new forms and shortened proofs for results on the linear model with sin...
In teaching linear statistical models to first-year graduate students or to final-year undergraduate...
The main purpose of Linear Algebra and Linear Models is to provide a rigorous introduction to the ba...
This book provides a concise and integrated overview of hypothesis testing in four important subject...
The book is based on several years of experience of both authors in teaching linear models at variou...
In this note, we first present three different types of generalized inverse matrices (conditional, l...
This paper contains a large number of matrix identities which cannot be absorbed by mere reading. Th...
. A general linear model can be written as Y = XB 0 + U , where Y is an N \Theta p matrix of obser...
AbstractA useful matrix identity is verified. The identity is, among other things, applicable to the...
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...
by Tsz-Kit Keung.Thesis (M.Phil.)--Chinese University of Hong Kong, 1996.Includes bibliographical re...
AbstractThis note discusses an identity which is useful in the construction of reduced generalized l...
Books on linear models and multivariate analysis generally include a chapter on matrix algebra, quit...
AbstractMatrix algebra is extensively used in the study of linear models and multivariate analysis (...
AbstractThis note gives some new forms and shortened proofs for results on the linear model with sin...
In teaching linear statistical models to first-year graduate students or to final-year undergraduate...
The main purpose of Linear Algebra and Linear Models is to provide a rigorous introduction to the ba...
This book provides a concise and integrated overview of hypothesis testing in four important subject...
The book is based on several years of experience of both authors in teaching linear models at variou...
In this note, we first present three different types of generalized inverse matrices (conditional, l...
This paper contains a large number of matrix identities which cannot be absorbed by mere reading. Th...
. A general linear model can be written as Y = XB 0 + U , where Y is an N \Theta p matrix of obser...